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13 pages, 10213 KiB  
Article
2 km Uncompressed HD Video Wireless Transmission at 100 GHz Based on All-Optical Frequency Up- and Down-Conversion
by Shuang Gao, Yutong Jiang, Zhuoxin Li, Qing Zhong, Min Zhu and Jiao Zhang
Micromachines 2024, 15(12), 1488; https://doi.org/10.3390/mi15121488 - 11 Dec 2024
Viewed by 297
Abstract
The millimeter-wave wireless transmission system is widely regarded as a promising solution for applications of future 6G communication. This paper presents an experimental comparison between all-optical and all-electric receivers for millimeter-wave communication systems over a 15 m wireless link and demonstrates 200 m [...] Read more.
The millimeter-wave wireless transmission system is widely regarded as a promising solution for applications of future 6G communication. This paper presents an experimental comparison between all-optical and all-electric receivers for millimeter-wave communication systems over a 15 m wireless link and demonstrates 200 m and 2 km real-time uncompressed HD video transmission using an all-optical transceiver at 100 GHz. The systems leverage photonics-assisted heterodyne beating techniques at the transmitter, while the receivers employ either an avalanche photodiode (APD)-based all-optical approach or an envelope detection-based all-electric approach. Experimental results show that the all-optical transceiver supports significantly higher transmission rates, achieving error-free transmission at up to 11.318 Gbps over a 200 m wireless link without clock recovery, compared to the all-electric receiver, which is limited to only 3.125 Gbps error-free 15 m transmission. This work proves that the proposed system based on the all-optical receiver is more promising for supporting future 6G scenarios requiring ultra-wideband, high capacity, and wide coverage high-speed wireless communications. Full article
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<p>Scenarios for mmWave wireless communication under IMT-2030 framework.</p>
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<p>Specific attenuation as a function of frequency under case 1, case 2, and dry air condition.</p>
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<p>The architecture of the transmission system, including approaches of the all-electric receiver based on envelope detection and all-optical receiver. (<b>i</b>) All-electric receiver. (<b>ii</b>) All-optical receiver.</p>
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<p>The measured optical spectra: (<b>a</b>) after the intensity modulator at the transmitting side, (<b>b</b>) of the received signal after the phase modulator, DWDM, TOF in the all-optical receiver, and the passband of TOF.</p>
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<p>Photos of the indoor transmission system: (<b>a</b>) transmitter, (<b>b</b>) all-electric receiver, (<b>c</b>) all-optical receiver.</p>
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<p>Experimental setup of the outdoor transmission: satellite map of the transmission link over a distance of (<b>a</b>) 200 m and (<b>d</b>) 2 km. Photos of the receiving side of (<b>b</b>) 200 m and (<b>e</b>) 2 km transmission. Photos of (<b>c</b>) real-time HD video displayed on the screen and (<b>f</b>) the transmitting side of 2 km transmission.</p>
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<p>Phase noise as a function of frequency offset.</p>
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<p>BER as a function of the signal amplitude into the intensity modulator for indoor transmission over a distance of 15 m based on (<b>a</b>) the all-electric receiver and (<b>b</b>) the all-optical receive.</p>
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<p>Signal waveform, spectrum, and demodulated eye diagram for 5 Gbit/s OOK signal of (<b>a</b>) all-electric receiver and (<b>b</b>) all-optical receiver.</p>
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<p>BER as a function of the received optical power for outdoor transmission over the distance of (<b>a</b>) 200 m and (<b>b</b>) 2 km.</p>
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15 pages, 4910 KiB  
Article
The Use of Laser Sensing for Solving Meteorological Problems Related to Researching and Ensuring the Safety of Space Flights
by Anatoly S. Boreysho, Maxim A. Konyaev, Sergey Y. Strakhov, Andrey V. Trilis and Natalia V. Sotnikova
Sensors 2024, 24(21), 6818; https://doi.org/10.3390/s24216818 - 23 Oct 2024
Viewed by 621
Abstract
This paper is devoted to the issue of using laser (lidar) sensing to determine wind speed and direction when solving practical problems during the analysis of meteorological conditions in the area around spaceports. This issue is relevant both for making decisions on the [...] Read more.
This paper is devoted to the issue of using laser (lidar) sensing to determine wind speed and direction when solving practical problems during the analysis of meteorological conditions in the area around spaceports. This issue is relevant both for making decisions on the possibility of a safe launch of a launch vehicle and for conducting search and rescue operations using groups of manned and unmanned aerial vehicles. Based on numerical and experimental modeling, it is shown that lidars provide highly accurate measurements of wind speed profiles and allow for the determination of weak wind shear in vertical and horizontal directions. This paper proposes a method for determining the main parameters of lidar sensing (range, resolution, detectability, etc.), which allows for the capabilities of this technology in solving the practical problems of meteorological monitoring to be predicted. Of particular interest in this article are experimental modeling data verifying the proposed calculation methods and the experimental determination of the capabilities of lidar diagnostics. This paper summarizes the data from multi-month experiments measuring wind speed in clear weather conditions when other means of remote diagnostics are ineffective. As a result of the experiments, a statistical distribution of the maximum range of wind speed measurement in normal weather conditions with natural variation in the concentration of scattering particles in the atmosphere was obtained. This article also discusses the possibility of combining lidars and meteorological radars for the meteorological support of flights. Full article
(This article belongs to the Section Optical Sensors)
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<p>Block diagram of the coherent Doppler lidar. 1—fiber splitter; AOM—acousto-optic modulator; EYDFA—erbium-ytterbium doped fiber amplifier; 2—optical circulator; 3—2 × 2 fiber coupler. Black solid lines—PM fiber; dashed blue lines—electrical connections; red solid—open optical paths.</p>
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<p>Signal range gating in Doppler lidar.</p>
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<p>Radial velocity graphs with different orders of interpolation.</p>
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<p>Signal-to-noise ratio distribution when scanning the upper hemisphere with a Doppler lidar.</p>
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<p>Scheme of measuring wind speed components with reference to the cardinal directions.</p>
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<p>Appearance of (<b>a</b>) WINDEX 300 and (<b>b</b>) WINDEX 5000 lidars.</p>
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<p>Maximum horizontal wind speed measurement range using WINDEX 5000 lidar.</p>
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<p>Wind speed altitude profile.</p>
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<p>Measured wind speed altitude profile with class 1 wind shear.</p>
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<p>Vertical wind shear.</p>
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39 pages, 13148 KiB  
Article
Fiducial Reference Measurement for Greenhouse Gases (FRM4GHG)
by Mahesh Kumar Sha, Martine De Mazière, Justus Notholt, Thomas Blumenstock, Pieter Bogaert, Pepijn Cardoen, Huilin Chen, Filip Desmet, Omaira García, David W. T. Griffith, Frank Hase, Pauli Heikkinen, Benedikt Herkommer, Christian Hermans, Nicholas Jones, Rigel Kivi, Nicolas Kumps, Bavo Langerock, Neil A. Macleod, Jamal Makkor, Winfried Markert, Christof Petri, Qiansi Tu, Corinne Vigouroux, Damien Weidmann and Minqiang Zhouadd Show full author list remove Hide full author list
Remote Sens. 2024, 16(18), 3525; https://doi.org/10.3390/rs16183525 - 23 Sep 2024
Viewed by 925
Abstract
The Total Carbon Column Observing Network (TCCON) and the Infrared Working Group of the Network for the Detection of Atmospheric Composition Change (NDACC-IRWG) are two ground-based networks that provide the retrieved concentrations of up to 30 atmospheric trace gases, using solar absorption spectrometry. [...] Read more.
The Total Carbon Column Observing Network (TCCON) and the Infrared Working Group of the Network for the Detection of Atmospheric Composition Change (NDACC-IRWG) are two ground-based networks that provide the retrieved concentrations of up to 30 atmospheric trace gases, using solar absorption spectrometry. Both networks provide reference measurements for the validation of satellites and models. TCCON concentrates on long-lived greenhouse gases (GHGs) for carbon cycle studies and validation. The number of sites is limited, and the geographical coverage is uneven, covering mainly Europe and the USA. A better distribution of stations is desired to improve the representativeness of the data for various atmospheric conditions and surface conditions and to cover a large latitudinal distribution. The two successive Fiducial Reference Measurements for Greenhouse Gases European Space Agency projects (FRM4GHG and FRM4GHG2) aim at the assessment of several low-cost portable instruments for precise measurements of GHGs to complement the existing ground-based sites. Several types of low spectral resolution Fourier transform infrared (FTIR) spectrometers manufactured by Bruker, namely an EM27/SUN, a Vertex70, a fiber-coupled IRCube, and a Laser Heterodyne spectro-Radiometer (LHR) developed by UK Rutherford Appleton Laboratory are the participating instruments to achieve the Fiducial Reference Measurements (FRMs) status. Intensive side-by-side measurements were performed using all four instruments next to the Bruker IFS 125HR high spectral resolution FTIR, performing measurements in the NIR (TCCON configuration) and MIR (NDACC configuration) spectral range. The remote sensing measurements were complemented by AirCore launches, which provided in situ vertical profiles of target gases traceable to the World Meteorological Organization (WMO) reference scale. The results of the intercomparisons are shown and discussed. Except for the EM27/SUN, all other instruments, including the reference TCCON spectrometer, needed modifications during the campaign period. The EM27/SUN and the Vertex70 provided stable and precise measurements of the target gases during the campaign with quantified small biases. As part of the FRM4GHG project, one EM27/SUN is now used as a travel standard for the verification of column-integrated GHG measurements. The extension of the Vertex70 to the MIR provides the opportunity to retrieve additional concentrations of N2O, CH4, HCHO, and OCS. These MIR data products are comparable to the retrieval results from the high-resolution IFS 125HR spectrometer as operated by the NDACC. Our studies show the potential for such types of spectrometers to be used as a travel standard for the MIR species. An enclosure system with a compact solar tracker and meteorological station has been developed to house the low spectral resolution portable FTIR systems for performing solar absorption measurements. This helps the spectrometers to be mobile and enables autonomous operation, which will help to complement the TCCON and NDACC networks by extending the observational capabilities at new sites for the observation of GHGs and additional air quality gases. The development of the retrieval software allows comparable processing of the Vertex70 type of spectra as the EM27/SUN ones, therefore bringing them under the umbrella of the COllaborative Carbon Column Observing Network (COCCON). A self-assessment following the CEOS-FRM Maturity Matrix shows that the COCCON is able to provide GHG data products of FRM quality and can be used for either short-term campaigns or long-term measurements to complement the high-resolution FTIR networks. Full article
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<p>Background anomaly of the Laser Heterodyne spectro-Radiometer. The black curve shows the CH<sub>4</sub> lines at low solar elevation, and the blue curve shows the measurements at mid-solar elevation angles. The red line indicates the background corrected origin, while the green line is the actual zero transmission.</p>
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<p>Time series of XCO<sub>2</sub> (<b>a</b>), XCH<sub>4</sub> (<b>c</b>), and XCO (<b>e</b>) retrieved from AirCore and the TCCON instrument for measurements performed at Sodankylä during the period of 2017–2019, and their differences (AirCore minus TCCON) ΔXCO<sub>2</sub> (<b>b</b>), ΔXCH<sub>4</sub> (<b>d</b>), and ΔXCO (<b>f</b>) for the same period.</p>
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<p>Mean bias (solid points), standard deviation of the differences (error bars), and correlation coefficients (open points) for XCO<sub>2</sub> (red), XCH<sub>4</sub> (blue), and XCO (green) between Xgas calculated from the AirCore relative to the TCCON data for the individual years of the campaign as well as the averaged results over all years.</p>
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<p>Time series of XCO<sub>2</sub> (<b>a</b>), XCH<sub>4</sub> (<b>c</b>), and XCO (<b>e</b>) retrieved from EM27/SUN and TCCON instruments for measurements performed at Sodankylä during the period of 2017–2019, and their differences (EM27/SUN minus TCCON reference) ΔXCO<sub>2</sub> (<b>b</b>), ΔXCH<sub>4</sub> (<b>d</b>), and ΔXCO (<b>f</b>) for the same period.</p>
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<p>Mean bias (solid points), standard deviation of the difference (error bars), and correlation coefficients (open points) for XCO<sub>2</sub> (red), XCH<sub>4</sub> (blue), and XCO (green) calculated from the EM27/SUN relative to the TCCON for the individual years of the campaign as well as the averaged combined results of all years.</p>
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<p>Time series of XCO<sub>2</sub> (<b>a</b>) retrieved from Vertex70 and TCCON instruments and their differences (Vertex70 minus TCCON reference) (<b>b</b>) for the same period. The shaded areas represent the time periods where the instrument was not operated in an optimal condition, and some tests were performed to achieve better results. The vertical bars represent the dates when an instrument modification was performed to the Vertex70 during the campaign.</p>
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<p>Mean bias (solid points), standard deviation of the difference (error bars), and correlation coefficients (open points) for XCO<sub>2</sub> (red), XCH<sub>4</sub> (blue), and XCO (green) calculated from the Vertex70 relative to the TCCON for the individual years of the campaign as well as the averaged results over all years.</p>
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<p>Time series of XCO<sub>2</sub> (<b>a</b>) and XAir (<b>c</b>) retrieved from IRCube and TCCON instruments and their difference of ΔXCO<sub>2</sub> (IRCube minus TCCON reference) (<b>b</b>) for the same period. The vertical bars represent the dates when an instrument modification was performed to the IRCube during the campaign.</p>
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<p>Mean bias (solid points), standard deviation of the difference (error bars), and correlation coefficients (open points) for XCO<sub>2</sub> (red), XCH<sub>4</sub> (blue), and XCO (green) calculated from the IRCube relative to the TCCON for the individual years of the campaign as well as the averaged results over all years. SO points to Sodankylä, WE to Wollongong, and DB to Darwin.</p>
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<p>Time series of XCO<sub>2</sub> (<b>a</b>), XCH<sub>4</sub> (<b>c</b>), and XH<sub>2</sub>O (<b>e</b>) retrieved from LHR and TCCON instruments for measurements performed at Sodankylä during the period of 2017–2019, and their differences (LHR minus TCCON reference) ΔXCO<sub>2</sub> (<b>b</b>), ΔXCH<sub>4</sub> (<b>d</b>), and ΔXH<sub>2</sub>O (<b>f</b>) for the same period.</p>
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<p>Time series of the retrieved HCHO columns at Sodankylä from the 125HR (blue) and the Vertex70 (red) spectrometers for all measurements (points) and for data in coincidences within 15 min (circles). Bottom: the differences of the HCHO columns Vertex70—125HR for the data in coincidences.</p>
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<p>Scatter plot of the HCHO columns retrieved at Sodankylä from the Bruker IFS 125HR and the Vertex70 spectrometers. Theil-Sen regression: y = 0.894 (0.047) x + 3.518 × 10<sup>13</sup> (1.834 × 10<sup>12</sup>).</p>
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<p>Time series of the retrieved OCS columns at Sodankylä from the Vertex70 (blue) and at Kiruna from the 120/5 HR (red) spectrometer for all measurements performed in 2019.</p>
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<p>Picture of the enclosure, compact solar tracker, and meteorological station on the mast during deployment at the BIRA-IASB campus in Uccle, Belgium.</p>
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<p>Measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and Xluft from the IRCube (red) and TCCON (black) instruments on the UoW campus, Wollongong.</p>
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<p>Xgas values from the side-by-side measurements with the COCCON reference spectrometer (SN37) and the TS (SN39) at the Karlsruhe TCCON site. The two days in March and two days in August were collected before and after the visit to the Izaña TCCON site.</p>
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<p>Time series of the side-by-side measurements performed at the Izaña TCCON site during the visit of the TS spectrometer. TCCON-HR data are plotted as red pentagons, the TCCON-LR data as sandy stars, and TS data as blue dots.</p>
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<p>The results of the TS campaigns conducted so far. The data for Tsukuba (TK) and Wollongong (WG) are taken from Herkommer et al., 2024 [<a href="#B37-remotesensing-16-03525" class="html-bibr">37</a>]. The bars give the deviation in percentage of the HR and LR data at the individual sites relative to the reference in Karlsruhe. The tcorr represents the time-corrected LR data for the Tsukuba site.</p>
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13 pages, 2462 KiB  
Article
Medium-Term Monitoring of Greenhouse Gases above Rice-Wheat Rotation System Based on Mid-Infrared Laser Heterodyne Radiometer
by Zhengyue Xue, Jun Li, Fengjiao Shen, Sheng Zhang, Xueyou Hu and Tu Tan
Agronomy 2024, 14(9), 2162; https://doi.org/10.3390/agronomy14092162 - 22 Sep 2024
Viewed by 3352
Abstract
The rice-wheat rotation system is a major agricultural practice in China as well as an important source of greenhouse gas (GHG) emissions. In this study, the developed mid-infrared laser heterodyne radiometer (MIR-LHR) was used for the remote sensing of atmospheric CH4 and [...] Read more.
The rice-wheat rotation system is a major agricultural practice in China as well as an important source of greenhouse gas (GHG) emissions. In this study, the developed mid-infrared laser heterodyne radiometer (MIR-LHR) was used for the remote sensing of atmospheric CH4 and N2O concentrations above the rice-wheat rotation system. From April 2019 to May 2022, the atmospheric column concentrations of CH4 and N2O above the rice-wheat rotation system were continuously observed in Hefei, China. The peak values of the N2O column concentration appeared 7~10 days after wheat seasonal fertilization, with additional peaks during the drainage period of rice cultivation. During the three-year rice-wheat crop rotation cycle, a consistent trend was observed in the CH4 column concentrations, which increased during the rice-growing season and subsequently decreased during the wheat-growing season. The data reveal different seasonal patterns and the impact of agricultural activities on their emissions. During the observation period, the fluctuations in the CH4 and N2O column concentrations associated with the rice-wheat rotation system were about 40 ppbv and 6 ppbv, respectively. The MIR-LHR developed for this study shows great potential for analyzing fluctuations in atmospheric column concentrations caused by GHG emissions in the rice-wheat rotation system. Full article
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<p>Schematic of the developed MIR-LHR. BS: beam splitter; BP: band-pass; RF: radio frequency; DAQ: data acquisition card; LIA: lock-in amplifier; L: focusing lens.</p>
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<p>Atmospheric transmittance spectra measured by the MIR-LHR. (<b>a</b>) CH<sub>4</sub> at 2831.92cm<sup>−1</sup>; (<b>b</b>) N<sub>2</sub>O at 2538.34 cm<sup>−1</sup>.</p>
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<p>Flow-chart of the LHR retrieval.</p>
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<p>Meteorological conditions during the experiment (2019–2022). Red curve: air temperature; Blue curve: precipitation.</p>
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<p>The retrieved vertical concentration profiles of (<b>a</b>) N<sub>2</sub>O and (<b>b</b>) CH<sub>4</sub>.</p>
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<p>Seasonal variations in N<sub>2</sub>O column concentrations in the rice-wheat rotation system, (<b>a</b>) column concentrations of N<sub>2</sub>O; (<b>b</b>) residuals.</p>
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<p>The monthly average column concentration of atmospheric N<sub>2</sub>O measured from April 2019 to May 2022 (error bars represent monthly mean retrieval uncertainty).</p>
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<p>Time series of the MIR-LHR N<sub>2</sub>O retrieval results in 2020–2021. Light purple area: the drainage period of rice cultivation; green area: fertilization period of rice and wheat cultivation.</p>
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<p>Time series of the MIR-LHR CH<sub>4</sub> retrieval results in 2021–2022. Light purple area: the drainage period of rice cultivation.</p>
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10 pages, 1986 KiB  
Article
Simplified Laser Frequency Noise Measurement Using the Delayed Self-Heterodyne Method
by Seán P. Ó Dúill and Liam P. Barry
Photonics 2024, 11(9), 813; https://doi.org/10.3390/photonics11090813 - 29 Aug 2024
Viewed by 816
Abstract
Here, we report on a simplified laser frequency noise measurement technique employing an acousto-optic modulator, a delay line, and a real-time oscilloscope. The technique is a slight modification of the typical delayed heterodyne method. Instead of using a swept frequency spectrum to analyze [...] Read more.
Here, we report on a simplified laser frequency noise measurement technique employing an acousto-optic modulator, a delay line, and a real-time oscilloscope. The technique is a slight modification of the typical delayed heterodyne method. Instead of using a swept frequency spectrum to analyze the laser emission spectrum, the waveform captured on a real-time oscilloscope is used to directly calculate the laser frequency noise. The oscilloscope bandwidth and sampling requirements can be kept modest by choosing a modulator driven at a few hundred megahertz, making this technique attractive for a large number of laboratories. We show the frequency noise measurements of two different lasers with linewidths at 2.7 kHz and 2 MHz. We took the opportunity to investigate the noise floor of the frequency noise measurement system, and we found that the noise floor of the frequency noise measurement depends on the power level of the laser that is being characterized, with the kilohertz linewidths laser requiring more power to reduce the noise floor to acceptable levels. Full article
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<p>FN measurement setup. Light from a CW laser is split between two paths: one path is frequency shifted by 200 MHz using the AOM, while the other path is delayed by a length of optical fiber. Light from the two paths is recombined and mixed in the photodiode, creating a beat component centered at 200 MHz. The RTO samples the beat signal, and offline post-processing extracts the FN. The beat signal can also be analyzed using the ESA with the (i) traditional swept spectrum technique or (ii) using the PNA functional to detect the phase noise spectrum at 200 MHz. The placement of a 10 dB attenuator (10 dB Att.) is shown for the investigation of reducing the optical power and is not normally necessary for the scheme to work. A polarization controller (P.C.) is used to maximize the strength of the beat signal at the photodetector. Dotted lines indicate secondary measurement conducted within this study, though is not necessary to the FN measurement. An ‘X’ denotes a fibre termination or unused port from an optical coupler.</p>
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<p>(<b>a</b>) Calculated FN spectral density of Laser A and (<b>b</b>) calculated FN spectral density of Laser B.</p>
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<p>Measured and fitted DSH spectra of (<b>a</b>) Laser A, where the intrinsic Lorentzian linewidth was found to be 2.5 kHz and (<b>b</b>) Laser B, whose intrinsic Lorentzian linewidth was found to be 2 MHz.</p>
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8 pages, 5221 KiB  
Article
High-Energy Injection-Seeded Single-Frequency Er:YAG Laser at 1645 nm Pumped by a 1532 nm Fiber Laser
by Jiaze Wu, Youlun Ju, Jiawei Fan, Yiming Zhao, Kun Yang, Lijie Geng, Yuanxue Cai, Lei Song, Yaming Zhuang, Shuyun Wu and Xiaoming Duan
Photonics 2024, 11(8), 752; https://doi.org/10.3390/photonics11080752 - 12 Aug 2024
Cited by 1 | Viewed by 896
Abstract
A single-frequency, Q-switched Er:YAG laser, pumped by a 1532 nm fiber laser, has been demonstrated. At the pulse repetition frequency (PRF) of 200 Hz, the maximum single-frequency laser of 5.5 mJ is attained, and, correspondingly, the pulse width is 212 ns. Using the [...] Read more.
A single-frequency, Q-switched Er:YAG laser, pumped by a 1532 nm fiber laser, has been demonstrated. At the pulse repetition frequency (PRF) of 200 Hz, the maximum single-frequency laser of 5.5 mJ is attained, and, correspondingly, the pulse width is 212 ns. Using the heterodyne technique, the single-frequency laser spectrum’s full width at half maximum is determined to be 2.73 MHz. The experimental results show that the single-frequency laser has excellent beam quality factors (M2) of 1.18 and 1.21. Full article
(This article belongs to the Special Issue Single Frequency Fiber Lasers and Their Applications)
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<p>Experimental setup of the seed-injection, single-frequency pulsed Er:YAG laser, pumped by the 1532 nm fiber laser. AOM/Q: acousto-optic modulator; PD1, PD2: photodiodes; Iso: isolator; OC: output coupler; PBS: polarized beam splitter; M: mirror; f: lens; PZT: piezoelectric transducer.</p>
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<p>Output characteristic of NPRO laser. (<b>a</b>) F-P longitudinal spectrum. (<b>b</b>) Output wavelength. (<b>c</b>) M<sup>2</sup> factor.</p>
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<p>(<b>a</b>) Output energy and pulse width of the single-frequency Er:YAG laser versus the incident pump power at 200 Hz. (<b>b</b>) Comparisons of the build-up time with and without injection-seeding at 200 Hz.</p>
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<p>Energy fluctuation of the single-frequency Er:YAG laser at a PRF of 200 Hz.</p>
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<p>(<b>a</b>) Beating signal of the single-frequency pulse laser and the reference light. (<b>b</b>) FFT spectrum of heterodyne beating signal between the seed laser and the slave laser.</p>
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<p>Beam quality of the Er:YAG single-frequency pulsed laser.</p>
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23 pages, 2065 KiB  
Article
Compact Spatial Heterodyne Spectrographs for Future Space-Based Observations: Instrument Modeling and Applications
by Ayan Sahoo, Joice Mathew, Andrew Battisti and Brad Tucker
Sensors 2024, 24(14), 4709; https://doi.org/10.3390/s24144709 - 20 Jul 2024
Cited by 1 | Viewed by 866
Abstract
High-resolution spectroscopy employing spatial heterodyne spectrographs (SHS) holds significant promise for forthcoming space missions, building upon its established track record in science applications. Notably, it offers exceptional performance and cost- effectiveness in the ultraviolet-visual (UV-Vis) region compared to contemporary instruments. SHS instruments provide [...] Read more.
High-resolution spectroscopy employing spatial heterodyne spectrographs (SHS) holds significant promise for forthcoming space missions, building upon its established track record in science applications. Notably, it offers exceptional performance and cost- effectiveness in the ultraviolet-visual (UV-Vis) region compared to contemporary instruments. SHS instruments provide high-resolution capabilities and substantially larger etendues than similar resolving power instruments. This study introduces a comprehensive Python-based SHS model integrated with a user-friendly web scraping interface for target star selection, parameter generation, and 2D interferogram creation. Our SHS model demonstrates double the resolving power of a grating spectrometer and a throughput comparable to a Fourier transform spectrometer (FTS) but without moving parts, enhancing robustness for deployment in space. The interferogram processing algorithm includes flat-fielding, bias removal, apodization, and an inverse Fourier transform (IFT) for accurate spectrum retrieval. Despite bandwidth limitations due to resolving power constraints, SHS models excel in applications requiring high spectral resolution over narrow wavelength ranges, such as studying isotopic emission lines. The model provides optimization results and trade-offs for system parameters, ensuring precise spectral recovery with realistic signal-to-noise ratio (SNR) values. SHS is versatile and effective for various scientific applications, including investigating atomic and molecular emissions from comets, planetary atmospheres, the Earth’s atmosphere, the Sun, and the interstellar medium (ISM). This research significantly contributes to expediting the development and deployment of SHS instruments, demonstrating their potential across numerous scientific domains. Full article
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<p>On the left-hand side is the schematic for the MI, which incorporates two mirrors and a beam splitter. One of the mirrors is moved to record spatial (or, equivalently, temporal) data. On the right-hand side is the schematic for SHS, which is almost the same as MI, but it uses gratings rather than mirrors, and the gratings are tilted at the Littrow angle.</p>
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<p>The SHS schematic diagram: For each wavelength in the incident wavefront, two wavefronts with a wavelength-dependent crossing angle between them exit the interferometer. The resulting superposition of Fizeau fringes with wavelength- dependent spatial frequencies are localized near the gratings and imaged by exit optics on a position-sensitive detector. The image is the Fourier transform of the input spectrum about the heterodyne wavelength (the wavelength producing parallel output wavefronts) [<a href="#B17-sensors-24-04709" class="html-bibr">17</a>].</p>
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<p>Relationship between wavenumber, wavefronts, and intensity patterns on the detector produced by SHS systems. The wavefronts are crossed at angles <math display="inline"><semantics> <mrow> <mn>2</mn> <mi>γ</mi> <mo>≃</mo> <mn>4</mn> <mrow> <mo>(</mo> <mn>1</mn> <mo>−</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <msub> <mi>k</mi> <mi>L</mi> </msub> <mi>k</mi> </mfrac> </mstyle> <mo>)</mo> </mrow> <mo form="prefix">tan</mo> <msub> <mi>θ</mi> <mi>L</mi> </msub> </mrow> </semantics></math> where <math display="inline"><semantics> <msub> <mi>k</mi> <mi>L</mi> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>θ</mi> <mi>L</mi> </msub> </semantics></math> are the Littrow wavenumber and grating angle, respectively. In the second row is a spectral line with intensity <math display="inline"><semantics> <msub> <mi>I</mi> <mn>1</mn> </msub> </semantics></math> and a wavenumber <math display="inline"><semantics> <msub> <mi>k</mi> <mn>1</mn> </msub> </semantics></math>, that is <math display="inline"><semantics> <mrow> <mi>δ</mi> <mi>k</mi> </mrow> </semantics></math> from <math display="inline"><semantics> <msub> <mi>k</mi> <mi>L</mi> </msub> </semantics></math> produces crossed wavefronts with a maximum separation of <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mi>λ</mi> <mn>2</mn> </mfrac> </mstyle> <mrow> <mo>(</mo> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mn>1</mn> <mrow> <mn>2</mn> <msub> <mi>k</mi> <mi>L</mi> </msub> </mrow> </mfrac> </mstyle> <mo>)</mo> </mrow> </mrow> </semantics></math> at the edges of a detector [<a href="#B18-sensors-24-04709" class="html-bibr">18</a>].</p>
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<p>Fundamental structure of the model: we provide input spectra and generate parameters. Then, the spectral data go through the entrance optics part, followed by the interferometer and exit optics segment. Finally, the generated 2D interferogram is detected, and processing is performed to generate SNR plots and recover the inputted spectra.</p>
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<p>Input spectrum we used as a science case for demonstrating the SHS model. The spectral feature shown here corresponds to the <math display="inline"><semantics> <mrow> <mi>H</mi> <mi>β</mi> </mrow> </semantics></math> line typical to A-type main sequence stars.</p>
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<p>2D Interferogram generated by the model.</p>
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<p>Two-dimensional power spectrum retrieved by the model.</p>
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<p>Spectra retrieval and data analysis. (<b>a</b>) Calibrated spectra along with input spectra, (<b>b</b>) signal-to-noise ratio.</p>
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<p>Design optimization for aperture area and exposure time, to understand the SNR dependence. (<b>a</b>) SNR as a function of the aperture area. As expected, this shows an increasing trend, due to increased photon counts, (<b>b</b>) SNR vs. exposure time also shows an increasing trend, due to the same reason as (<b>a</b>).</p>
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<p>System optimization trade-offs. (<b>a</b>) SNR variation and heatmap to show dependence on area and time, (<b>b</b>) variation in SNR with resolving power. The decrease is due to the factor <math display="inline"><semantics> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mn>1</mn> <msqrt> <mi>N</mi> </msqrt> </mfrac> </mstyle> </semantics></math>, where increasing N or the no. of samples decreases the resolving power. In addition, the photons are distributed amongst a greater number of pixels, thus increasing the error per pixel.</p>
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<p>System optimization trade-offs. (<b>a</b>) Resolution as a function of the spectral range (Note: a lower resolution corresponds to better-resolving power). As we mentioned before, increasing the bandpass decreases the resolving capabilities of the SHS, (<b>b</b>) resolution as a function of the width of the diffraction grating (W). This shows a decreasing trend due to the relation <math display="inline"><semantics> <mrow> <mi>R</mi> <mo>=</mo> <mn>4</mn> <mi>W</mi> <mi>k</mi> <mo form="prefix">sin</mo> <mi>θ</mi> </mrow> </semantics></math>.</p>
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<p>Results of the average spectrum recovery percentage accuracy as a function of SNR.</p>
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<p>SHS interferometer for near-UV flown as part of the SHIMMER payload on STPSat-1 [<a href="#B39-sensors-24-04709" class="html-bibr">39</a>].</p>
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<p>DASH interferometer designed for measuring thermospheric winds using the oxygen red line (<math display="inline"><semantics> <mi>λ</mi> </semantics></math> = 630 nm) [<a href="#B17-sensors-24-04709" class="html-bibr">17</a>].</p>
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<p>Model interferogram generated from a segment of solar spectra available at [<a href="#B43-sensors-24-04709" class="html-bibr">43</a>]. (<b>a</b>) We utilized the bandpass of 5000–5400 to generate a model interferogram, (<b>b</b>) interferogram generated by our SHS model.</p>
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<p>Model interferogram generated from a segment of Saturn surface brightness spectra available at [<a href="#B43-sensors-24-04709" class="html-bibr">43</a>]. (<b>a</b>) We utilized the bandpass of 6050–6350 to generate a model interferogram, (<b>b</b>) interferogram generated by our SHS model.</p>
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16 pages, 7124 KiB  
Article
Low-Power Wireless Sensor Module for Machine Learning-Based Continuous Monitoring of Nuclear Power Plants
by Jae-Cheol Lee, You-Rak Choi, Doyeob Yeo and Sangook Moon
Sensors 2024, 24(13), 4209; https://doi.org/10.3390/s24134209 - 28 Jun 2024
Cited by 1 | Viewed by 3974
Abstract
This paper introduces the novel design and implementation of a low-power wireless monitoring system designed for nuclear power plants, aiming to enhance safety and operational efficiency. By utilizing advanced signal-processing techniques and energy-efficient technologies, the system supports real-time, continuous monitoring without the need [...] Read more.
This paper introduces the novel design and implementation of a low-power wireless monitoring system designed for nuclear power plants, aiming to enhance safety and operational efficiency. By utilizing advanced signal-processing techniques and energy-efficient technologies, the system supports real-time, continuous monitoring without the need for frequent battery replacements. This addresses the high costs and risks associated with traditional wired monitoring methods. The system focuses on acoustic and ultrasonic analysis, capturing sound using microphones and processing these signals through heterodyne frequency conversion for effective signal management, accommodating low-power consumption through down-conversion. Integrated with edge computing, the system processes data locally at the sensor level, optimizing response times to anomalies and reducing network load. Practical implementation shows significant reductions in maintenance overheads and environmental impact, thereby enhancing the reliability and safety of nuclear power plant operations. The study also sets the groundwork for future integration of sophisticated machine learning algorithms to advance predictive maintenance capabilities in nuclear energy management. Full article
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<p>NPP fault sources and total number of faults (red dashed line) from 2019 to 2023 in South Korea [<a href="#B6-sensors-24-04209" class="html-bibr">6</a>].</p>
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<p>Heterodyne frequency conversion.</p>
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<p>Proposed edge sensor operational diagram.</p>
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<p>Sensors, receivers, edge server and cloud organization in the NPP monitoring system.</p>
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<p>Proposed low-power acoustic sensor module.</p>
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<p>Constituting the 1st frequency band (20 kHz–100 kHz) using the bandpass filter.</p>
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<p>Frequency transformation into 2nd frequency band (−18 kHz–138 kHz) after mixing.</p>
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<p>Isolation of 3rd frequency band (0 Hz to 100 Hz) using the lowpass filter.</p>
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<p>Transformed frequency band view around the target frequency of 38 kHz.</p>
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<p>Implementation of the 6 channel acoustic signal-acquisition sensor module.</p>
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<p>Six anomalous acoustic signals collected from six frequency bands near 38 kHz.</p>
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<p>Ten groups of 64 samples of normal and anomalous signals for deep learning training.</p>
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<p>Power spectra of 10 groups of 64 samples of normal and anomalous signals.</p>
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21 pages, 16282 KiB  
Article
Research on Calculation Method of On-Orbit Instrumental Line Shape Function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B Satellite
by Yunfei Han, Hailiang Shi, Haiyan Luo, Zhiwei Li, Hanhan Ye, Chao Li, Yi Ding, Shichao Wu, Xianhua Wang, Wei Xiong and Chenhui Hou
Remote Sens. 2024, 16(12), 2171; https://doi.org/10.3390/rs16122171 - 15 Jun 2024
Viewed by 701
Abstract
The Greenhouse Gases Monitoring Instrument is based on the spectroscopic principle of spatial heterodyne spectroscopy technology and has the characteristics of no moving parts, a hyperspectral resolution, and a large luminous flux. The instrumental line shape function is one of the most important [...] Read more.
The Greenhouse Gases Monitoring Instrument is based on the spectroscopic principle of spatial heterodyne spectroscopy technology and has the characteristics of no moving parts, a hyperspectral resolution, and a large luminous flux. The instrumental line shape function is one of the most important parameters characterizing the features of the instrument, and it plays a vital role in the system error analysis of the instrument’s measurements. To accurately obtain the instrumental line shape function of a spatial heterodyne spectrometer during the on-orbit period and improve the accuracy of gas concentration retrieval, this study develops a method to model and characterize the characteristics of the instrumental line shape function, including modulation loss and phase error. This study employs the solar calibration spectrum in the 1.568–1.583 μm bands to conduct iterative calculations of the instrumental line shape function error model. After the instrumental line function is updated, the average relative deviation is reduced from 1.83% to 0.756% between the theoretical and measured solar spectra. Additionally, the average relative deviation is reduced from 7.049% to 2.106% between the GMI nadir and theoretical nadir spectra. The findings demonstrate that updating the instrumental line shape function mitigates the impact of variations in the spectrometer’s instrumental line shape due to alterations in the orbital environment. This study offers a dependable reference for both the enhancement and oversight of a spectrometer’s instrumental line shape function, along with an investigation of shifts in instrument parameters. Full article
(This article belongs to the Special Issue Remote Sensing Satellites Calibration and Validation)
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<p>Principle of spatial heterodyne spectrometer.</p>
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<p>Theoretical results for the ILSF.</p>
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<p>Monochromatic light measurement results. (<b>a</b>) Interferogram of 6349.21 cm<sup>−1</sup> after preliminary processing; (<b>b</b>) recovered spectrum of interferogram after zero-filling.</p>
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<p>The ILSF measurement results. (<b>a</b>) ILSF versus wavenumber; (<b>b</b>) the mean of ILSF.</p>
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<p>Experimental equipment of atmospheric environment simulation calibration chamber [<a href="#B23-remotesensing-16-02171" class="html-bibr">23</a>].</p>
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<p>The absorption spectrum experimental data results in the CO<sub>2</sub>-1 bands.</p>
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<p>Schematic diagram of the GMI on-orbit calibration. (<b>a</b>) Calibration equipment; (<b>b</b>) calibration optical path; (<b>c</b>) calibrator door-blocking structure.</p>
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<p>The spectral line distribution of Kurucz solar spectrum in the CO<sub>2</sub>-1 bands.</p>
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<p>The GMI on-orbit calibration data processing flowchart.</p>
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<p>The GMI payload first on-orbit calibration interferogram. (<b>a</b>) Interferogram; (<b>b</b>) single-row interferogram.</p>
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<p>Solar spectrum in CO<sub>2</sub>-1 bands.</p>
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<p>Flow chart of ILSF characterization.</p>
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<p>The initial solar calibration data of GMI near the CO<sub>2</sub>-1 bands (11 October 2021).</p>
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<p>The GMI payload pre-launch and on-orbit-adjusted ILSF (blue curve: lab measurements; green curve: the ILSF after on-orbit update).</p>
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<p>Comparison results of measured and reference solar spectral characteristics in the CO<sub>2</sub>-1 bands after ILSF correction.</p>
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<p>The nadir observation spectrum in the CO<sub>2</sub>-1 bands after the ILSF update. (<b>a</b>) Theoretical spectrum convolution of initial ILSF and measured spectrum. (<b>b</b>) Theoretical spectrum convolution of iterative ILSF and measured spectrum. (<b>c</b>) Spectral residuals prior to the emission and the on-orbit-adjusted ILSF. (<b>d</b>) Residuals distribution.</p>
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<p>ILSF correction results for O<sub>2</sub> (0.759–0.769 μm) bands.</p>
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<p>ILSF correction results for CH<sub>4</sub> (1.642–1.658 μm) bands.</p>
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<p>ILSF correction results for CO<sub>2</sub>-2 (2.043–2.058 μm) bands.</p>
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16 pages, 1125 KiB  
Article
The Optimization of Frequency Distribution Based on Genetic Algorithm for Space Gravitational Wave Observatories
by Lixiao Zeng, Haojie Li, Weilai Yao, Jianyu Wang and Xindong Liang
Appl. Sci. 2024, 14(12), 4963; https://doi.org/10.3390/app14124963 - 7 Jun 2024
Viewed by 809
Abstract
The three spacecraft of the space gravitational wave antenna employ heterodyne interferometry to mitigate the effects of Doppler shift. Constrained by laser relative intensity noise (RIN) and the sampling frequency constraints of phase readout circuits, the widespread adoption of fixed offset frequencies effectively [...] Read more.
The three spacecraft of the space gravitational wave antenna employ heterodyne interferometry to mitigate the effects of Doppler shift. Constrained by laser relative intensity noise (RIN) and the sampling frequency constraints of phase readout circuits, the widespread adoption of fixed offset frequencies effectively regulates the frequency of heterodyne interferometric beat notes within a reasonable frequency domain of [5 MHz, 25 MHz]. In this work, a high-precision fitness genetic algorithm for heterodyne interferometry is utilized to generate the initial offset frequency distribution scheme. To address issues with unreasonable switching times and offset frequency settings in the initial scheme for partial frequency domains, optimization strategies are proposed from three aspects: frequency domain selection extension, switch times control, and numerical low frequency. Results demonstrate that the optimization of frequency domain selection extension narrows the reasonable frequency domain to [5 MHz, 15 MHz] and [7 MHz, 17 MHz]. Optimization of switch times control ensures that switching times of offset frequency distribution scheme generated under the settings of [6 MHz, 17 MHz] and wider frequency domains can be controlled within a reasonable range of 6 to 13 times. Fixed offset frequency settings are generally reduced by 24.3% after low-frequency optimization. This methodology and result can provide a reliable reference for Program Taiji and even related space gravitational wave antenna projects. Full article
(This article belongs to the Section Aerospace Science and Engineering)
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<p>Genetic Algorithm Flow Chart for Distribution Scheme.</p>
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<p>Phase-locking Schemes.</p>
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<p>Complete Alignment Pattern.</p>
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<p>Distribution Frequency for Different Phase Locking Schemes.</p>
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<p>Distribution Frequency of Different Alignment Patterns.</p>
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<p>Raw Offset Frequency Setting of [7 MHz, 22 MHz].</p>
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<p>Raw Offset Frequency Setting of [5 MHz, 25 MHz].</p>
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<p>Possible Number of Conversions in Different Frequency Domains.</p>
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<p>Solution Optimization Comparison of [7 MHz, 22 MHz].</p>
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<p>Solution Optimization Comparison of [5 MHz, 25 MHz].</p>
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<p>Number of Conversions in Each Frequency Domain of The Scheme ➂.</p>
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<p>Comparison of Different Frequency Band Distribution Schemes After Low Frequency Optimization.</p>
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<p>Beat Frequency Curve of [5 MHz, 25 MHz].</p>
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<p>Beat Frequency Curve of [7 MHz, 21 MHz].</p>
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29 pages, 5990 KiB  
Review
Linewidth Measurement of a Narrow-Linewidth Laser: Principles, Methods, and Systems
by Jia-Qi Chen, Chao Chen, Jing-Jing Sun, Jian-Wei Zhang, Zhao-Hui Liu, Li Qin, Yong-Qiang Ning and Li-Jun Wang
Sensors 2024, 24(11), 3656; https://doi.org/10.3390/s24113656 - 5 Jun 2024
Cited by 3 | Viewed by 2952
Abstract
Narrow-linewidth lasers mainly depend on the development of advanced laser linewidth measurement methods for related technological progress as key devices in satellite laser communications, precision measurements, ultra-high-speed optical communications, and other fields. This manuscript provides a theoretical analysis of linewidth characterization methods based [...] Read more.
Narrow-linewidth lasers mainly depend on the development of advanced laser linewidth measurement methods for related technological progress as key devices in satellite laser communications, precision measurements, ultra-high-speed optical communications, and other fields. This manuscript provides a theoretical analysis of linewidth characterization methods based on the beat frequency power spectrum and laser phase noise calculations, and elaborates on existing research of measurement technologies. In addition, to address the technical challenges of complex measurement systems that commonly rely on long optical fibers and significant phase noise jitter in the existing research, a short-delay self-heterodyne method based on coherent envelope spectrum demodulation was discussed in depth to reduce the phase jitter caused by 1/f noise. We assessed the performance parameters and testing conditions of different lasers, as well as the corresponding linewidth characterization methods, and analyzed the measurement accuracy and error sources of various methods. Full article
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<p>Basic schematic diagram of (<b>a</b>) the heterodyne beat frequency method, (<b>b</b>) the delayed self-homodyne method, (<b>c</b>) the MZI delayed self-heterodyne method, (<b>d</b>) the MI delayed self-heterodyne method, (<b>e</b>) the cyclic gain compensation delayed self-heterodyne method, and (<b>f</b>) the Brillouin second-order Stokes wave. ISO: isolator, PZT: piezoelectric ceramic, PD: photodetector, ESA: spectrum analyzer.</p>
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<p>Schematic diagram of the beat frequency signal when the reference linewidth (<b>a</b>) is equal to and (<b>b</b>) is much smaller than the measured linewidth.</p>
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<p>Self−heterodyne spectrum of the Brillouin/erbium fiber laser (BEFL) measured with a 25 km delay fiber and the fitting curves [<a href="#B49-sensors-24-03656" class="html-bibr">49</a>].</p>
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<p>The relationship between commonly used representations of phase noise.</p>
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<p>(<b>a</b>) Schematic diagram of PSD with frequency noise [<a href="#B65-sensors-24-03656" class="html-bibr">65</a>], (<b>b</b>) basic structure of the frequency discrimination method, (<b>c</b>) self-homodyne optical coherent reception method with FRM, and (<b>d</b>) optical coherent reception method based on a 3 × 3 coupler.</p>
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<p>(<b>a</b>) Diagram of the self-heterodyne measurement for a narrow-linewidth laser [<a href="#B90-sensors-24-03656" class="html-bibr">90</a>]. BS: beam splitter, AOM: acousto-optic modulator, APD: Si avalanche photodiode, FP: Fabry-Perot interferometer. (<b>b</b>) Schematic of the laser linewidth measurement [<a href="#B92-sensors-24-03656" class="html-bibr">92</a>].</p>
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<p>(<b>a</b>) Schematic of the laser lineshape measurement apparatus based on the R−DSH method [<a href="#B45-sensors-24-03656" class="html-bibr">45</a>], (<b>b</b>) schematic of the PI-RDSH laser linewidth measurement setup [<a href="#B100-sensors-24-03656" class="html-bibr">100</a>], (<b>c</b>) experimental setup of the improved recirculating delayed self-heterodyne interferometer [<a href="#B101-sensors-24-03656" class="html-bibr">101</a>], and (<b>d</b>) beat signals detected by the proposed RDSHI [<a href="#B101-sensors-24-03656" class="html-bibr">101</a>].</p>
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<p>The BEFL self−heterodyne spectrum and its fitting curve were measured using a 100 km delay fiber [<a href="#B49-sensors-24-03656" class="html-bibr">49</a>].</p>
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<p>Delayed self-heterodyne measurement system based on SBS [<a href="#B53-sensors-24-03656" class="html-bibr">53</a>].</p>
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<p>(<b>a</b>) Laser frequency noise measurement using a frequency discriminator, which is an unbalanced Mach–Zehnder interferometer [<a href="#B105-sensors-24-03656" class="html-bibr">105</a>]; (<b>b</b>) COSH setup: A laser is split by a three-port AOM into frequency-shifted (1st-order output) and unshifted (0th-order output) portions [<a href="#B109-sensors-24-03656" class="html-bibr">109</a>]; (<b>c</b>) 3 × 3 fiber coupler unbalanced Michelson interferometer self-heterodyne technique [<a href="#B113-sensors-24-03656" class="html-bibr">113</a>]; (<b>d</b>) Measured FN-PSD spectrum with narrowest linewidth [<a href="#B115-sensors-24-03656" class="html-bibr">115</a>].</p>
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<p>Experimental devices for measuring the mid-infrared QCL linewidth via self-mixing interferometry [<a href="#B120-sensors-24-03656" class="html-bibr">120</a>].</p>
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<p>(<b>a</b>) Composition of the beat frequency power spectrum [<a href="#B98-sensors-24-03656" class="html-bibr">98</a>], (<b>b</b>) coherent envelope spectra of different fiber lengths [<a href="#B99-sensors-24-03656" class="html-bibr">99</a>], (<b>c</b>) schematic diagram of the valley of the envelope spectrum submerged by background noise [<a href="#B99-sensors-24-03656" class="html-bibr">99</a>], (<b>d</b>) contrast difference between the second peak and the second valley of the envelope spectrum (CDSPST) [<a href="#B98-sensors-24-03656" class="html-bibr">98</a>].</p>
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<p>Iterative algorithm flowchart based on coherent envelope spectrum demodulation.</p>
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14 pages, 3394 KiB  
Article
High-Performance Fiber Ring Laser Based on Polarization Space Parity-Time Symmetry Breaking
by Fengling Zhang, Zhengmao Wu, Xin Tong and Guangqiong Xia
Photonics 2024, 11(6), 501; https://doi.org/10.3390/photonics11060501 - 25 May 2024
Viewed by 1369
Abstract
This work proposes and experimentally demonstrates a high-performance polarization space parity-time (PT) symmetric fiber ring laser to achieve a low-noise, narrow-linewidth, and highly stable single-longitudinal-mode output. The gain/loss and coupling coefficients are regulated by adjusting a polarization controller (PC) and the pumping current [...] Read more.
This work proposes and experimentally demonstrates a high-performance polarization space parity-time (PT) symmetric fiber ring laser to achieve a low-noise, narrow-linewidth, and highly stable single-longitudinal-mode output. The gain/loss and coupling coefficients are regulated by adjusting a polarization controller (PC) and the pumping current of an erbium-doped fiber amplifier (EDFA) within the ring cavity. The results show that the single longitudinal mode oscillation of the laser can be implemented by PT symmetry breaking. The frequency noise spectral density and the linewidth characteristics of the laser are evaluated by the short-delay self-heterodyne method. The results reveal that excellent low-frequency noise (181 Hz2/Hz at a 10 kHz offset frequency) and narrow fundamental linewidth (68 Hz) can be achieved. Additionally, the laser exhibits outstanding stability with only 0.64 pm wavelength drift over 30 min. By tuning an optical tunable filter (OTF), the wavelength tunable range of the laser can cover the entire C-band. Furthermore, the impacts of different fiber length on the frequency noise spectral density and the filter bandwidth on stability are analyzed, offering guidance for component selection in such laser systems. Full article
(This article belongs to the Special Issue Advanced Lasers and Their Applications, 2nd Edition )
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<p>(<b>a</b>) Schematic diagram of the experimental setup of the proposed polarization space PT symmetric fiber ring laser. (<b>b</b>) Schematic diagram of the experimental setup to evaluate the performance of the laser. OTF: optical tunable filter; EDFA: erbium-doped fiber amplifier; OC: optical coupler; PC: polarization controller; PBS: polarization beam splitter; OSA: optical spectrum analyzer; SMF: single-mode fiber; AOM: acoustic optical modulator; PD: photodetector; ESA: electrical spectrum analyzer.</p>
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<p>Interrelationship among the round-trip gain/loss, coupling coefficients, <span class="html-italic">θ</span>, and <span class="html-italic">G</span><sub>0</sub> for the proposed laser. (<b>a</b>) Variations in round-trip gain/loss coefficients of the two polarization loops, coupling coefficient <span class="html-italic">K</span>, and product <span class="html-italic">G<sub>x</sub>G<sub>y</sub></span> versus <span class="html-italic">θ</span> for <span class="html-italic">G</span><sub>0</sub> = 2. (<b>b</b>) Same as (<b>a</b>) but for <span class="html-italic">G</span><sub>0</sub> = 4. (<b>c</b>) Relationship between the values of <span class="html-italic">G</span><sub>0</sub> and <span class="html-italic">θ</span> to satisfy the PT symmetric condition <span class="html-italic">G<sub>x</sub>G<sub>y</sub></span> = 1. (<b>d</b>) Round-trip gain coefficients <span class="html-italic">G<sub>x</sub></span> and coupling coefficient <span class="html-italic">K</span> versus <span class="html-italic">G</span><sub>0</sub> under the PT symmetric condition.</p>
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<p>Transmittance spectrum of the OTF (magenta trace) measured by the ‘Component Analyzer’ module of the OSA, and optical spectrum measured by the OSA for the laser without PT configuration (black trace), the laser without PT symmetry (red trace), and the laser with PT symmetry breaking (blue trace).</p>
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<p>(<b>a</b>) Evolution of the optical spectrum of the output of the fiber ring laser under different pumping currents of the EDFA with a span of 0.02 nm (25 GHz) and an RBW of 0.16 pm (20 MHz). (<b>b</b>) Evolution of the electrical spectrum of the beat signal under different pumping currents of the EDFA at a central frequency of 80.0 MHz with a span of 100 MHz and an RBW of 10 kHz.</p>
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<p>Measured electrical spectrum of the beat signals (<b>a</b>) without PT symmetry and (<b>b</b>) with PT symmetry breaking and its zoomed-in view at a central frequency of 80.0 MHz.</p>
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<p>Long-delayed heterodyne utilized for the assessment of the linewidth and line shape of a PT symmetric fiber ring laser. (<b>a</b>) Linewidth assessment and (<b>b</b>) line shape fitting with normalized power.</p>
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<p>(<b>a</b>) Phase noise spectral density of the coherent beat signal obtained by the PT symmetric fiber ring laser through the short-delay self-heterodyne system with a 9.77 m SMF. (<b>b</b>) Frequency noise spectral density and the integral linewidth of the laser for an observation time of 1 s. (<b>c</b>) Integral linewidth with different starting offset frequencies. (<b>d</b>) Effective integral linewidth of the laser.</p>
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<p>Measurement of the wavelength drift in the PT symmetric fiber ring laser within a duration of 30 min.</p>
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<p>Optical spectra of the tunability of the single mode of the PT symmetric fiber ring laser. (<b>a</b>) Fine-tuned with a step of 20 pm from 1549.92 nm to 1550.08 nm and (<b>b</b>) coarse-tuned with a step of 4 nm from 1529 nm to 1561 nm by tuning the OTF.</p>
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<p>Frequency noises spectral density of the PT symmetric fiber ring lasers with different cavity lengths and a high-performance tunable laser source (TSL-570).</p>
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<p>Integral linewidth with various observation timescales of the PT symmetric fiber ring lasers with different cavity lengths.</p>
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<p>(<b>a</b>) Transmission spectra and (<b>b</b>) wavelength drift range within a 30 min period for the PT symmetric fiber ring laser operating at different bandwidths of OTF.</p>
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13 pages, 2732 KiB  
Article
High-Resolution Millimeter-Wave Radar for Real-Time Detection and Characterization of High-Speed Objects with Rapid Acceleration Capabilities
by Yair Richter and Nezah Balal
Electronics 2024, 13(10), 1961; https://doi.org/10.3390/electronics13101961 - 16 May 2024
Viewed by 1465
Abstract
In this study, we present a novel approach for the real-time detection of high-speed moving objects with rapidly changing velocities using a high-resolution millimeter-wave (MMW) radar operating at 94 GHz in the W-band. Our detection methodology leverages continuous wave transmission and heterodyning of [...] Read more.
In this study, we present a novel approach for the real-time detection of high-speed moving objects with rapidly changing velocities using a high-resolution millimeter-wave (MMW) radar operating at 94 GHz in the W-band. Our detection methodology leverages continuous wave transmission and heterodyning of the reflected signal from the moving target, enabling the extraction of motion-related attributes such as velocity, position, and physical characteristics of the object. The use of a 94 GHz carrier frequency allows for high-resolution velocity detection with a velocity resolution of 6.38 m/s, achieved using a short integration time of 0.25 ms. This high-frequency operation also results in minimal atmospheric absorption, further enhancing the efficiency and effectiveness of the detection process. The proposed system utilizes cost-effective and less complex equipment, including compact antennas, made possible by the low sampling rate required for processing the intermediate frequency signal. The experimental results demonstrate the successful detection and characterization of high-speed moving objects with high acceleration rates, highlighting the potential of this approach for various scientific, industrial, and safety applications, particularly those involving targets with rapidly changing velocities. The detailed analysis of the micro-Doppler signatures associated with these objects provides valuable insights into their unique motion dynamics, paving the way for improved tracking and classification algorithms in fields such as aerospace research, meteorology, and collision avoidance systems. Full article
(This article belongs to the Special Issue Advances in Terahertz Radiation Sources and Their Applications)
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<p>CW micro-Doppler radar.</p>
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<p>(<b>a</b>) 3D surface plot illustrating the relationship between carrier frequency, velocity resolution, and integration time of the radar system. The graph demonstrates how higher carrier frequencies enable shorter integration times to maintain precise velocity resolution. (<b>b</b>) 2D graph depicting the inverse relationship between carrier frequency and required integration time for a fixed velocity resolutions of 0.1, 0.2, and 0.5 (m/s). As the carrier frequency increases, the required integration time decreases, highlighting the advantage of higher frequencies in detecting high-speed targets.</p>
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<p>Diagram illustrating the operational stages of a high-acceleration propulsion system and the corresponding speed of the object as a function of time. The graph demonstrates the object’s ability to achieve rapid velocity changes during its flight.</p>
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<p>Schematic of the experimental system showing the radar placement adjacent to the expected object path, with a slight deviation to increase range and prevent damage.</p>
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<p>Horn antenna schematic for system dimension stabilization and main lobe radiation angle calculation. This diagram depicts a horn antenna used to determine the system’s dimensions and to calculate the radiation angle within the main lobe, which is critical for accurate beam alignment and signal detection.</p>
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<p>Integrated Radar Analysis Workflow (<b>a</b>) IF Signal Acquisition: This segment captures the radar’s detection phase, where the intermediate frequency (IF) signal is measured directly after being reflected from the object. (<b>b</b>) Threshold Application: Depiction of the threshold level is applied to the spectrogram data to discern between signal and noise, highlighting the significant spectral events indicative of the object’s movement.</p>
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<p>(<b>a</b>) Concentrated results of radar measurements after applying a threshold filter, emphasizing critical spectral data corresponding to the detected motion of the object as a function of time. (<b>b</b>) Velocity profile of the object as a function of position obtained from the high-speed camera and the radar system. The camera-based velocity profile serves as the ground truth for validating the radar measurements, which are derived by integrating the velocity data as a function of time.</p>
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<p>RCS Measurement System. This system comprises a transmitter with a specified transmission power <span class="html-italic">P<sub>t</sub></span>, a motor, and a spectrum analyzer. The motor is designed to rotate the target being measured along the <span class="html-italic">x</span>- and <span class="html-italic">y</span>-axes, facilitating comprehensive RCS analysis.</p>
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<p>Objects for the RCS measurement procedure. The FS power in (<b>a</b>) is measured without any target or calibration object for side effect calibration. The calibration object in this study is a metal sphere (<b>b</b>). The measured target in this study was a metal object with a caliber of 20 mm, as presented in (<b>c</b>).</p>
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<p>Measured RCS of a metal object. Measurements were taken from 0° to 180° and are presented in units of dBsm.</p>
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13 pages, 5636 KiB  
Article
Thin Copper Plate Defect Detection Based on Lamb Wave Generated by Pulsed Laser in Combination with Laser Heterodyne Interference Technique
by Xinhao Wang, Zhaojiong Zhu, Guqing Guo, Xiaocong Sun, Ting Gong, Yali Tian, Yueting Zhou, Xuanbing Qiu, Xiaohu He, Huiqin Chen, Christa Fittschen and Chuanliang Li
Sensors 2024, 24(10), 3103; https://doi.org/10.3390/s24103103 - 14 May 2024
Viewed by 912
Abstract
Thin copper plate is widely used in architecture, transportation, heavy equipment, and integrated circuit substrates due to its unique properties. However, it is challenging to identify surface defects in copper strips arising from various manufacturing stages without direct contact. A laser ultrasonic inspection [...] Read more.
Thin copper plate is widely used in architecture, transportation, heavy equipment, and integrated circuit substrates due to its unique properties. However, it is challenging to identify surface defects in copper strips arising from various manufacturing stages without direct contact. A laser ultrasonic inspection system was developed based on the Lamb wave (LW) produced by a laser pulse. An all-fiber laser heterodyne interferometer is applied for measuring the ultrasonic signal in combination with an automatic scanning system, which makes the system flexible and compact. A 3-D model simulation of an H62 brass specimen was carried out to determine the LW spatial-temporal wavefield by using the COMSOL Multiphysics software. The characteristics of the ultrasonic wavefield were extracted through continuous wavelet transform analysis. This demonstrates that the A0 mode could be used in defect detection due to its slow speed and vibrational direction. Furthermore, an ultrasonic wave at the center frequency of 370 kHz with maximum energy is suitable for defect detection. In the experiment, the size and location of the defect are determined by the time difference of the transmitted wave and reflected wave, respectively. The relative error of the defect position is 0.14% by averaging six different receiving spots. The width of the defect is linear to the time difference of the transmitted wave. The goodness of fit can reach 0.989, and it is in good agreement with the simulated one. The experimental error is less than 0.395 mm for a 5 mm width of defect. Therefore, this validates that the technique can be potentially utilized in the remote defect detection of thin copper plates. Full article
(This article belongs to the Section Fault Diagnosis & Sensors)
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<p>The tested copper plate. (<b>a</b>) Defect-free sample P1. (<b>b</b>) Defect sample P2.</p>
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<p>Laser LW spatial-temporal wavefield. (<b>a</b>) Defect-free copper plate P1. (<b>b</b>) Defect copper plate P2.</p>
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<p>Time–frequency graph after CWT at a laser focus-receiving spot distance of 40 mm. (<b>a</b>) Copper plate P1. (<b>b</b>) Copper plate P1 at 0–15 μs. (<b>c</b>) Copper plate P2.</p>
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<p>Dispersion curves of the H62 brass. (<b>a</b>) Group velocity dispersion curves. (<b>b</b>) Phase velocity dispersion curves.</p>
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<p>Experimental setup of laser ultrasonic generation and detection system.</p>
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<p>LW time-domain signal. (<b>a</b>) Experiment results at a laser focus-receiving spot distance of 40 mm. (<b>b</b>) Experiment results at a laser focus-receiving spot distance of 60 mm. (<b>c</b>) FEM simulations at a laser focus-receiving spot distance of 40 mm. (<b>d</b>) FEM simulations at a laser focus-receiving spot distance of 60 mm.</p>
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<p>LW signal of 370 kHz extracted by CWT. (<b>a</b>) Experiment results at a laser focus-receiving spot distance of 40 mm. (<b>b</b>) Experiment results at a laser focus-receiving spot distance of 60 mm. (<b>c</b>) FEM simulations at a laser focus-receiving spot distance of 40 mm. (<b>d</b>) FEM simulations at a laser focus-receiving spot distance of 60 mm.</p>
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<p>Defect errors at various laser focus-receiving spot distances.</p>
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<p>The relationship between LW transmitted signal and defect size. (<b>a</b>) FEM at a laser focus-receiving spot distance of 70 mm. (<b>b</b>) Experiment at a laser focus-receiving spot distance of 70 mm.</p>
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<p>The relationships between LW transmitted signal and defect size derived by experiments and FEM.</p>
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11 pages, 3819 KiB  
Article
Switchable Dual-Wavelength Thulium-Doped Fiber Laser Based on Polarization-Maintaining Fiber Bragg Grating and Compound Cavity Filter
by Xiangdong Wang, Fengping Yan, Hao Guo, Wei Wang, Dandan Yang, Pengfei Wang, Ting Li, Chenhao Yu, Kazuo Kumamoto and Yuping Suo
Photonics 2024, 11(4), 360; https://doi.org/10.3390/photonics11040360 - 12 Apr 2024
Cited by 1 | Viewed by 1461
Abstract
This paper presents experimental evidence regarding a novel switchable dual-wavelength thulium-doped fiber laser (TDFL). Wavelength switching is achieved by combining a polarization-maintaining fiber Bragg grating (PM-FBG) with a polarization controller (PC). The three-coupler double-ring compound cavity (TC-DRC) structure, acting as a mode-selection filter, [...] Read more.
This paper presents experimental evidence regarding a novel switchable dual-wavelength thulium-doped fiber laser (TDFL). Wavelength switching is achieved by combining a polarization-maintaining fiber Bragg grating (PM-FBG) with a polarization controller (PC). The three-coupler double-ring compound cavity (TC-DRC) structure, acting as a mode-selection filter, is designed to select a single longitudinal mode (SLM) from the dense longitudinal modes. This paper introduces the design and fabrication method of the TC-DRC filter and analyzes, in detail, the mechanism for SLM selection. The experimental results demonstrate that the designed filter exhibits excellent performance. By adjusting the PC, the TDFL achieves stable SLM operation at the wavelengths of 1940.54 nm and 1941.06 nm, respectively. The optical signal-to-noise ratio (OSNR) is superior to 65 dB. When the TDFL is tested at room temperature, there is no significant wavelength drift, and power fluctuations are less than 1.5 dB. The operation of the SLM is verified through the self-heterodyne method, and the laser maintains stable SLM states for both wavelengths after continuous operation for an hour. Furthermore, based on the phase noise demodulation method, the linewidths of both wavelengths are measured to be less than 10 kHz at the integration time of 0.001 s. Full article
(This article belongs to the Special Issue Single Frequency Fiber Lasers and Their Applications)
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<p>(<b>a</b>) Configuration diagram of the proposed switchable dual-wavelength TDFL. (<b>b</b>) Schematic diagram of the proposed TC-DRC cavity filter. <span class="html-italic">E</span><sub>in</sub>–<span class="html-italic">E</span><sub>12</sub> represent the electric field amplitudes at the ports of OC; <span class="html-italic">L</span><sub>1</sub>–<span class="html-italic">L</span><sub>4</sub> are the lengths of the optical fibers.</p>
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<p>Transmission spectra of PM−FBG under (<b>a</b>) <span class="html-italic">X</span>−polarization and (<b>b</b>) <span class="html-italic">Y</span>-polarization.</p>
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<p>Signal flowchart of the passive TC−DRC cavity filter.</p>
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<p>Simulation results of the proposed passive TC-DRC cavity filter.</p>
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<p>Laser spectra corresponding to PM−FBG, with wavelengths of (<b>a</b>) 1940.54 nm and (<b>b</b>) 1941.06 nm. (<b>c</b>,<b>d</b>) Stable spectra obtained from 10 consecutive scans with a 6 min interval.</p>
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<p>Laser beat frequency results in the presence of the passive TC−DRC cavity filter with a frequency range of 0 to 100 MHz. The laser output wavelengths from the self-heterodyne method are (<b>a</b>) 1940.54 nm and (<b>b</b>) 1941.06 nm. (<b>c</b>,<b>d</b>) Beat frequency results measured at intervals of 6 min over a continuous one-hour period.</p>
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<p>Configuration of the linewidth measurement system. FRM: Faraday rotation mirror, PD: photodetector, CH: channel.</p>
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<p>Frequency noise PSD of the SLM laser at (<b>a</b>) 1941.06 nm and (<b>b</b>) 1940.54 nm.</p>
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