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A Comprehensive Review of Adaptive Noise Cancellation Techniques in the Internet of Things

Authors:

Hafiz Shakir Mehmood,

Rana Zeeshan Ahmad,

M. Jehanzaib YousufAuthors Info & Claims

ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems

Article No.: 46, Pages 1 - 8

https://doi.org/10.1145/3341325.3342035

Published: 01 July 2019 Publication History

Abstract

Internet of things (IoT) has made possible the sharing of data wirelessly among everyday objects and physical devices. However, distortion and noise can significantly degrade the signaling performance of IoT. Adaptive Noise Cancellation (ACN) technology plays an important role not only in IoT but also in other numerous fields such as system identification, noise cancellation, communication, signal control, etc. At present, IoT is an advance trend and need to deal with upcoming issues in a way to deal properly in enjoying this technology. Due to the presence of noise in the signal, the quality of the signal is reduced, so the quality of communication (signal) can be improved by adaptive noise (acoustic) cancellation technology. This paper aims to provide the performance analysis of adaptive algorithm and the application of adaptive noise cancellation technique. Further, use cases of three-noise cancellation filter in IoT are introduced. In wireless communication, quality of services relies on signal quality and thus noise cancellation plays a vital role in the signaling of IoT. At the end of this paper performance analysis of different ANC algorithms including least mean square (LMS), Normalized least mean square (NLMS), recursive least square (RLS) will be done based on simulation results.

References

[1]

Potdar, R.M., Meshram, M., Dewangan, N.K., Kumar, R., & Tech, M. (2015). Implementation of Adaptive Algorithm for PCG Signal Denoising.

[2]

Jeong, J. (2011). An Innovations-Based Noise Cancelling Technique on Inverse Kepstrum Whitening Filter and Adaptive FIR Filter in Beamforming Structure. Sensors.

[3]

Farhang-Boroujeny, Behrouz. Adaptive filters: theory and applications. John Wiley & Sons, 2013.

[4]

Haykin, Simon. "Adaptive filters." Signal Processing Magazine 6.1 (1999).

[5]

Diniz, Paulo SR. Adaptive filtering. Springer, 1997.

[6]

P. Lueg, "Process of silencing sound oscillations Paul Lueg, Kirchstrasse, Germany Application March 8, 1934, Serial No. 714,582 In Germany January 27, 1933," 1936, pp. 8--10.

[7]

D. Miljkovic, "Active noise control: From analog to digital Last 80 years," in 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016, pp. 1151--1156.

[8]

Gerges, Samir & Sehrndt, Gustav & Parthey, Wolfgang. (2001). 5 NOISE SOURCES. Occupational Exposure to Noise.

[9]

H. F. Olson, Acoustical Engineering. Van Nostrand, 1957.

[10]

H. F. Olson, Music, Physics and Engineering. Dover Publications, 2013.

[11]

H. F. Olson, Modern Sound Reproduction. R. E. Krieger Publishing Company, 1978.

[12]

P. W. Howells, "Intermediate frequency side-lobe canceller Paul w. Howells, Morrisville, N.Y., assignor to general electric company, a corporatigs of new york filed may 4, 1959, Ser. No. 810,961," 1965.

[13]

Stearns, Samuel D. "of Aldapfive Signal Processing." (1985).

[14]

J. Koford and G. Groner, "The use of an adaptive threshold element to design a linear optimal pattern classifier," in IEEE Transactions on Information Theory, vol. 12, no. 1, pp. 42--50, January 1966.

Digital Library

[15]

F.F., Jr, Kretschmer, & L. Lewis, Bernard. (1978). An Improved Algorithm for Adaptive Processing. Aerospace and Electronic Systems, IEEE Transactions on. AES-14. 172--177.

[16]

Adaptation and Learning in Automatic Systems. Elsevier Science, 1971.

Digital Library

[17]

B. D. Gabor, W. P. L. Wilby, D. Ph, R. Woodcock, and D. Ph, "a Universal Non-Linear Filter, Predictor and Simulator Which Optimizes Itself By a Learning Process," vol. 1959, no. 3270, pp. 422--435, 1961.

[18]

R. D. Gitlin, J. F. Hayes, and S. B. Weinstein, Data Communications Principles. Springer US, 2012.

[19]

J. R. Barry, E. A. Lee, and D. G. Messerschmitt, Digital Communication. Springer US, 2012.

Digital Library

[20]

G. Kizer, Digital Microwave Communication: Engineering Point-to-Point Microwave Systems. Wiley, 2013.

[21]

E. J. Thomas, An Adaptive Echo Canceller in a Nonideal Environment (Nonlinear or Time Variant), Bell System Technical Journal, 50, 8, (2779-2795), (2013).

[22]

M. Sondhi, M. (1967). An Adaptive Echo Canceller. Bell System Technical Journal. 46.

[23]

B. Widrow, "Adaptive filters," in Aspects of Network and System Theory, 1985, pp. 563--586.

[24]

B. Widrow, P. E. Mantey, L. J. Griffiths and B. B. Goode, "Adaptive antenna systems," in Proceedings of the IEEE, vol. 55, no. 12, pp. 2143--2159, Dec. 1967

[25]

R. L. Riegler and R. T. Compton, "An adaptive array for interference rejection," in Proceedings of the IEEE, vol. 61, no. 6, pp. 748--758, June 1973.

[26]

O. L. Frost, "An algorithm for linearly constrained adaptive array processing," in Proceedings of the IEEE, vol. 60, no. 8, pp. 926--935, Aug. 1972.

[27]

Qiyue Zou, Zhu Liang Yu and Zhiping Lin, "A robust algorithm for linearly constrained adaptive beamforming," in IEEE Signal Processing Letters, vol. 11, no. 1, pp. 26--29, Jan. 2004

[28]

Diniz, Paulo SR. Adaptive filtering. Springer, 1997.

[29]

I. Sharma, R. Mehra and M. Singh, "Adaptive filter design for ECG noise reduction using LMS algorithm," 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), Noida, 2015, pp. 1--6

[30]

A. Ren, Z. Du, J. Li, F. Hu, X. Yang, and H. Abbas, "Adaptive interference cancellation of ECG signals," Sensors (Switzerland), vol. 17, no. 5, Apr. 2017.

[31]

D.Huang, "Performance analysis of an RLS-LMS algorithm for lossless audio compression," 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Que., 2004.

[32]

P. Zahradnik and B.Simak, "Education in real-time digital signal processing using digital signal processors," 2012 35th International Conference on Telecommunications and Signal Processing (TSP), Prague, 2012,

[33]

Mitra, Sanjit K., and James F. Kaiser. Handbook for digital signal processing. John Wiley & Sons, Inc., 1993.

Digital Library

[34]

Zia Ur Rahman, Md & Khaja Mohedden, Sk & B V Rama Mohana Rao, Dr & Jaipal Reddy, Y & G.V.S, Karthik. (2011). Filtering Non-Stationary Noise in Speech Signals using Computationally Efficient Unbiased and Normalized Algorithm. International Journal on Computer Science and Engineering. 3.

[35]

R. M. Ramli, S. A. Samad, and A. O. Abid Noor, "A selective algorithm for the reduction of irregular noise in speech communication," in 2014 IEEE Student Conference on Research and Development, SCOReD 2014, 2014.

[36]

J. A. Tavares Reyes, E. Escamilla Hernández, and J. C. Sánchez García, "DSP-based oversampling adaptive noise canceller for background noise reduction for mobile phones," in CONIELECOMP 2012 - 22nd International Conference on Electronics Communications and Computing, 2012, pp. 327--332.

[37]

S. Chaudhury and A. Sengupta, "Designing a filter bank and an adaptive filtering technique to eliminate noises in power line communication," 2012 Power Engineering and Automation Conference, Wuhan, 2012.

[38]

Poularikas, Alexander D., and Zayed M. Ramadan. Adaptive filtering primer with MATLAB. CRC Press, 2017.

[39]

Ghauri, Sajjad & Khan, Sheraz & Sohail, M & Hussain, Asad. (2013). Adaptive Filter Algorithms for Noise & Echo Cancellation. 1.

[40]

R. Nagal, P. Kumar, and P. Bansal, "A survey with emphasis on adaptive filter, structure, LMS and NLMS adaptive algorithm for adaptive noise cancellation system," Journal of Engineering Science and Technology Review, vol. 10, no. 2. pp. 150--160, Jun-2017.

[41]

O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, and S. Marcos, "Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms," Neural Comput., vol. 5, pp. 165--199, 1993.

Digital Library

[42]

L. E. Thon, "50 years of signal processing at ISSCC," 2003 IEEE International Solid-State Circuits Conference, 2003. Digest of Technical Papers. ISSCC., San Francisco, CA, USA, 2003

[43]

Deng, Hongyang, and Milos Doroslovacki. "Proportionate adaptive algorithms for network echo cancellation." IEEE Transactions on Signal Processing 54.5 (2006): 1794--1803.

Digital Library

[44]

"IEEE Sponsored 2'nd International Conference On Electronics And Communication Systems(ICECS '2015) Implementation Of Efficient Lms Adaptivefilter With Low-Adaptation Delay

[45]

Ahmed, Solaiman & Afroz, Farhana & Tawsif, Ahmad & Huq, Asadul. (2015). Cancellation of White and Color Noise with Adaptive Filter Using LMS Algorithm. International Journal of Wireless & Mobile Networks. 7. 19--36.

[46]

Dadi, Harihara & Sravya Pendyala, VUSL & Kumar, Nagendra & Shanmukh Rao, N. (2012). Statistical Approach for Noise Removal in Speech Signals Using LMS, NLMS, Block LMS and RLS Adaptive filters. International Journal of Modeling and Optimization. 351--355.

[47]

B, Perumal & J, Carmalatta & Soundarapandian, Diwakaran. (2017). A Comparative Analysis among Certain Data Prediction Techniques for Wireless Sensor Network. International Journal of Electronics, Electrical and Computational System. 6. 592--598.

[48]

ZHANG Qin, FENG Cunqian, "Variable Stepsize LMS Algorithm and Its Application in Adaptive Noise Cancellation";Modern Electronic Technique;2003-14

[49]

Liu, Yang & Mingli, Xiao & Yong, Tie. (2013). A Noise Reduction Method Based on LMS Adaptive Filter of Audio Signals.

[50]

Bellanger, Maurice, and Maurice Bellanger. "Adaptive digital filters." (2001).

[51]

Kou, Yanhong & Ai, Yuxiong & Ma, Zhongzhi. (2009). Design and Implementation of an Adaptive Interference Mitigation Algorithm Base on FPGA.

[52]

Widrow, Bernard, and J. McCool. "A comparison of adaptive algorithms based on the methods of steepest descent and random search." IEEE transactions on antennas and propagation 24.5 (1976): 615--637. K. W. S and S. M. J. Jayaram, "Efficient Noise Cancellation Systems Based on Adaptive Algorithms and Their Performance Comparisons," Int. J. Adv. Res. Comput. Eng. Technol., vol. 3, 2014.

[53]

Xian-Hua, Dai, and He Zhen-Ya. "An efficient adaptive noise cancelling technique." {1991} IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings. IEEE, 1991.

[54]

Lai, Yen-Tai & Kao, Chen-Chieh & Chen, Hao-Jan. (1999). Design and implementation of an adaptive FIR filter based on delayed error LMS algorithm. 704--712.

[55]

K. Kashihara, K. Fujii, M. Muneyasu, and M. Morimoto, "Active noise control system using IIR lattice filter," in ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings, 2009, pp. 73--76.

[56]

Thenua, Raj Kumar, and S. K. Agarwal. "Simulation and performance analysis of adaptive filter in noise cancellation." International Journal of Engineering Science and Technology 2.9 (2010): 4373--4378.

[57]

Y. Chen and R. G. Vaughan, "Active noise cancellation: Where does the extra power go?," 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Vancouver, BC, 2016, pp. 1--4.

[58]

Jeong-Hyeon Yun, Young-Cheol Park and Dae-Hee Youn, "Subband active noise control algorithm based on a delayless subband adaptive filter architecture," 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, Munich, 1997, pp. 391--394 vol.1

Digital Library

[59]

Jose Maria Giron-Sierra, Digital Signal Processing with Matlab Examples, Springer Singapore Volume 3. 2017.

[60]

Shen, Sheng & Roy, Nirupam & Guan, Junfeng & Hassanieh, Haitham & Roy Choudhury, Romit. (2018). MUTE: bringing IoT to noise cancellation. 282--296.

Digital Library

[61]

Kita, Kenji & Ashibe, Kazuhiko & Yano, Yoneo & Ogata, Hiroaki. (1995). VOICEDIC: A practical application of speech recognition technology. Advances in Human Factors/ergonomics. 20. 535--540.

[62]

Avalos, J. Gerardo, Juan C. Sanchez, and Jose Velazquez. "Applications of adaptive filtering." Adaptive Filtering Applications. IntechOpen, 2011.

Cited By

Saleem KAkhtar SNazir MAlmadhor AZikria YAhmad RKim S(2022)Situation aware intelligent reasoning during disaster situation in smart citiesFrontiers in Psychology10.3389/fpsyg.2022.97078913Online publication date: 8-Aug-2022
https://doi.org/10.3389/fpsyg.2022.970789
Shi ZGu TZhang YZhang XGummeson JLee SGao JXing G(2022)mmBPProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568506(667-681)Online publication date: 6-Nov-2022
https://dl.acm.org/doi/10.1145/3560905.3568506

A Comprehensive Review of Adaptive Noise Cancellation Techniques in the Internet of Things
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Communication hardware, interfaces and storage

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ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems

July 2019

346 pages

ISBN:9781450371636

DOI:10.1145/3341325

Copyright © 2019 ACM.

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Published: 01 July 2019

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ICFNDS '19: 3rd International Conference on Future Networks and Distributed Systems

July 1 - 2, 2019

Paris, France

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Cited By

Saleem KAkhtar SNazir MAlmadhor AZikria YAhmad RKim S(2022)Situation aware intelligent reasoning during disaster situation in smart citiesFrontiers in Psychology10.3389/fpsyg.2022.97078913Online publication date: 8-Aug-2022
https://doi.org/10.3389/fpsyg.2022.970789
Shi ZGu TZhang YZhang XGummeson JLee SGao JXing G(2022)mmBPProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568506(667-681)Online publication date: 6-Nov-2022
https://dl.acm.org/doi/10.1145/3560905.3568506

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