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TDOA Parameter Estimation based on VMD-WTD in Satellite Interference Location

Published: 09 March 2021 Publication History

Abstract

Satellite interference source location system is one of the important means of satellite communication anti-interference. High-precision satellite interference source positioning technology can accurately lock the location of the interference source and take measures to remove the interference. Time difference of arrival (TDOA) parameter estimation is a key link in the satellite interference source location system, and the accuracy of TDOA parameter estimation directly affects the location accuracy. This paper proposes a new TDOA parameter estimation algorithm that combines variational model decomposition (VMD) and wavelet threshold denoising (WTD). Firstly, the signal is adaptively decomposed into multiple components through the VMD algorithm to ensure the preservation of the original signal during the denoising process, then an improved WTD algorithm is used to remove the influence of noise in the satellite reception signal. Finally, accurate TDOA parameters are obtained. Numerical simulations show that the accuracy of the improved algorithm are better than conventional methods, thereby indirectly improving the accuracy of satellite interference source location.

References

[1]
D Wang, J X Yin, X Chen, On the use of calibration emitters for TDOA source localization in the presence of synchronization clock bias and sensor location errors[J]. EURASIP Journal on Advances in Signal Processing, 2019, 2019(1):1-34.
[2]
S K Sharma, S Chatzinotas, B Ottersten . Satellite cognitive communications: Interference modeling and techniques selection[C]. Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC), 2012 6th. IEEE, 2012.
[3]
Y Z Bin, W Lei, C P Qun, Passive satellite localization using TDOA/FDOA/AOA measurements[C]. IEEE Conference Anthology. IEEE, 2014:1-5.
[4]
D P Haworth, N G Smith, R Bardelli, Interference localization for EUTELSAT satellites-the first european transmitter location system[J]. International Journal of Satellite Communications, 1997, 15(4):155-183.
[5]
S Stein. Differential delay/Doppler ML estimation with unknown signals[J]. IEEE Transactions on Signal Processing, 1993, 41(8):2717-2719.
[6]
K C Ho. Solution and performance analysis of geolocation by TDOA[J]. IEEE Trans. Aerosp. Electron. Syst. 1993, 29(4):1311-1322.
[7]
B Lee, J Choi. Modified cross-correlation for inter-aural time delay estimation[C]. Iccas-sice. IEEE, 2009.
[8]
P C Ching, Y T Chan. Adaptive time delay estimation with constraints[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1988, 36(4):0-602.
[9]
X Cui, K Yu, S Lu. Direction Finding for Transient Acoustic Source Based on Biased TDOA Measurement[J]. IEEE Transactions on Instrumentation and Measurement, 2016, 65(11):1-12.
[10]
C Knapp, G Carter. The generalized correlation method for estimation of time delay[J]. IEEE Transa -ctions on Acoustics Speech & Signal Processing, 2003, 24(4):320-327.
[11]
H Wang, L Fang, C Xiong. Research of Generalized Cross Correlation to Time Delay Estimation Based on Wavelet Analysis[C]. First International Conference on Instrumentation. IEEE, 2012: 74-77.
[12]
H Dou, Q Lei, W Li, A new TDOA estimation method in Three-satellite interference localisa -tion[J]. International Journal of Electronics, 2015, 102(5):839-854.
[13]
F Reed, P Feintuch, N Bershad. Time delay estimation using the LMS adaptive filter–Static behavior[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 2003, 29(3):561-571.
[14]
B Widrow, S D Stearn. Adaptive Signal Processing[M]. Englewood Cliffs: Prentice-Hall. Inc. 1993.
[15]
H C So, P C Ching. Comparative study of five LMS-based adaptive time delay estimators[J]. IEE Proceedings-Radar, Sonar and Navigation, 2001, 148(1):9-15.
[16]
B Huang, Y Xiao, Y Ma, A simplified variable step-size LMS algorithm for Fourier analysis and its statistical properties[J]. Signal Processing, 2015, 117:69-81.
[17]
W Xia, W Jiang, L Zhu. An Adaptive Time Delay Estimator Based on ETDE Algorithm with Noisy Measurements[J]. Chinese Journal of Electronics, 2018, 26(4):760-767.
[18]
T Cohen, Frédéric. Analog and Digital Signal Analysis[M]. Springer International Publishing, 2016.
[19]
Y Shimamura, K Araki, J Takada. Application of fourth-order cumulants to delay time and doa estimation of multiple delayed waves by the mmp method[J]. Electronics & Communications in Japan, 2015, 82 (12):30-39.
[20]
W.J Ren, D.H Hu, C.B Ding. Multi-time difference joint positioning method of Three-satellite interference localisation[J]. Journal of Radars, 2012, 1(3). (in Chinese)
[21]
Y Yuan, S Hou, Q Zhao. An improved TDOA localization algorithm based on wavelet transform[C]. IEEE International Conference on Electronics Information & Emergency Communication. IEEE, 2017.
[22]
Ye D, Lu J Y, Zhu X J, Generalized Cross Correlation Time Delay Estimation Based on Improved Wavelet Threshold Function[C]. Sixth International Conference on Instrumentation & Measurement. IEEE, 2016:629-633.
[23]
Dragomiretskiy K, Zosso D. Variational Mode Decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3):531-544.
[24]
St'ephane G. Mallat. A Theory of Multiresolution Signal Decomposition: The Wavelet Representation[M]. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. 1989.

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ACAI '20: Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence
December 2020
576 pages
ISBN:9781450388115
DOI:10.1145/3446132
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 March 2021

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