TDOA estimation of dual-satellites interference localization based on blind separation

doi:10.21629/JSEE.2019.04.07

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (4): 696-702.doi: 10.21629/JSEE.2019.04.07

• Electronics Technology • Previous Articles Next Articles

TDOA estimation of dual-satellites interference localization based on blind separation

Ting SU*(), Yong GAO()

College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China

Received:2017-12-28 Online:2019-08-01 Published:2019-09-01
Contact: Ting SU E-mail:929215328@qq.com;gaoyong@scu.edu.cn
About author:SU Ting was born in 1992. She is a master in Sichuan University. Her research areas mainly include satellite communications and blind signal processing. E-mail:929215328@qq.com|GAO Yong was born in 1969. He is a Ph.D. and a professor in Sichuan University. His research areas mainly include speech signal processing, anti-interference and anti-interception technology in communication, array signal processing, and blind analysis of signal and emergency communication. E-mail:gaoyong@scu.edu.cn
Supported by:
the Fundamental Research Funds for the Central Universities(2082604194194);This work was supported by the Fundamental Research Funds for the Central Universities (2082604194194)

Abstract

Abstract:

The time difference of arrival (TDOA) estimation plays a crucial role in the accurate localization of the satellite interference source. In the dual-satellites interference source localization system, the target signal from the adjacent satellite is likely to be interfered by the normal communication signal with the same frequency. Therefore, the signal to noise ratio (SNR) of the target signal would become too low, and the TDOA estimation through cross-correlation processing would be unreliable or even unattainable. This paper proposes a technique based on blind separation to solve the co-channel interference problem, where separation of the mixed signal can be carried out by the particle filter (PF) algorithm. The experimental results show that the proposed method could achieve more accurate TDOA estimation. The measured data obtained by using the software radio platform at 915 MHz and 2 GHz respectively verify the effectiveness of the proposed method.

Key words: time difference of arrival (TDOA), co-channel interference, blind separation, particle filter (PF)

Ting SU, Yong GAO. TDOA estimation of dual-satellites interference localization based on blind separation[J]. Journal of Systems Engineering and Electronics, 2019, 30(4): 696-702.

Figures/Tables 11

Fig 1

Fig 2

Fig 3

Fig 4

Fig 5

Fig 6

Fig 7

Fig 8

Table 1

Fig 9

Fig 10

References 15

1	MATSUMOTO Y, TANAKA M, OKAZAWA H. Satellite interference location system using on-board multibeam antenna. Electronics&Communications in Japan, 1997, 80 (11): 22- 33.
2	WEN F, WAN Q, LUO L Y. Time-difference-of-arrival estimation for noncircular signals using information theory. AEU-International Journal of Electronics and Communications, 2013, 67 (3): 242- 245. doi: 10.1016/j.aeue.2012.08.006
3	WENDEBERG J, SCHINDELHAUER C. Polynomial-time approximation algorithms for anchor-free TDOA localization. Theoretical Computer Science, 2014, 553, 27- 36. doi: 10.1016/j.tcs.2014.04.007
4	YAN K K, LU Y. Sidelobe reduction in array-pattern synthesis using genetic algorithm. IEEE Trans. on Antennas&Propagation, 1997, 45 (7): 1117- 1122.
5	YANG S M. The theory and application of blind source separation ICA. Chengdu, China: University of Electronic Science and Technology, 2009.
6	BRANDT-PEARCE M. Signal separation using fractional sampling in multiuser communications. IEEE Trans. on Communications, 2002, 48 (2): 242- 251.
7	WEI X J, YANG Y, GUO Y M, et al. Joint estimation of interference frequency offset and time delay in PCMA system. Journal on Communication, 2017, 38 (2): 173- 182.
8	GEDALYAHU K, ELDAR Y C. Time-delay estimation from low-rate samples:a union of subspaces approach. IEEE Trans. on Signal Processing, 2010, 58 (6): 3017- 3031. doi: 10.1109/TSP.2010.2044253
9	DOOLEY S R, NANDI A K. Subsample time delay estimation with variable step size control. Signal Processing, 2000, 80 (2): 343- 347. doi: 10.1016/S0165-1684(99)00132-2
10	LIANG L T, HAN F, FAN X, et al. Study of effect of coherent interference on time delay estimation. Journal of Detection&Control, 2007, 29 (6): 11- 14.
11	YANG Y X, XIA C X, XIONG J Y. Adjacent satellite cochannel interference cancellation based on demodulation in dual-satellite location system. Telecommunication Engineering, 2012, 52 (11): 1730- 1735.
12	LI Y, AMARI S, CICHOCKI A. Underdetermined blind source separation based on sparse representation. IEEE Trans. on Signal Processing, 2006, 54 (2): 423- 437. doi: 10.1109/TSP.2005.861743
13	LIU K, LI H, DAI X. Single channel blind separation of cofrequency MPSK signals. Proc. of the 5th IASTED International Conference on Communications, Internet, and Information Technology, 2006, 42- 46.
14	WAN J, TU S L. Theory and technology on blind source separation of communication signals. Beijing: National Defense Industry Press, 2012.
15	OSWALD E. NDA based feedforward sampling frequency synchronization for OFDM systems. Proc. of the 59th IEEE Vehicular Technology Conference, 2004, 1068- 1072.

SNR/dB	TDOA/μs
SNR/dB	ICA	PF
0	12.25	30
3	21.80	30
5	1.25	30

[1]	Ronghua ZHOU, Hemin SUN, Hao LI, Weilin LUO. TDOA and track optimization of UAV swarm based on D-optimality [J]. Journal of Systems Engineering and Electronics, 2020, 31(6): 1140-1151.
[2]	Fan LI, Hongkui BI, Jiajun XIONG, Chenlong YU, Xuhui LAN. A dual channel perturbation particle filter algorithm based on GPU acceleration [J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 854-863.
[3]	Bo Wang, Xiaolong Liang, Liang Wei, and Pingni Liu. Aviation multi-station collaborative detecting based on time-frequency correlation of data-link [J]. Systems Engineering and Electronics, 2017, 28(5): 827-840.
[4]	Wei Xia, Wei Liu, and Lingfeng Zhu. Distributed adaptive direct position determination based on diffusion framework [J]. Systems Engineering and Electronics, 2016, 27(1): 28-.
[5]	Hui Di, Yu Liu, and Jian Yang. Novel method for radial velocity difference estimation of moving targets with wideband signals [J]. Journal of Systems Engineering and Electronics, 2014, 25(2): 175-182.
[6]	Wei Han, Ziyue Tang, and Zhenbo Zhu. Method of target tracking with Doppler blind zone constraint [J]. Journal of Systems Engineering and Electronics, 2013, 24(6): 889-898.
[7]	Minggang Luo, Liping Li, Guobing Qian, and Huaguo Zhang. Multi-dimensional blind separation method for STBC systems [J]. Journal of Systems Engineering and Electronics, 2013, 24(6): 912-918.
[8]	Benjian Hao and Zan Li. BFGS quasi-Newton location algorithm using TDOAs and GROAs [J]. Journal of Systems Engineering and Electronics, 2013, 24(3): 341-.
[9]	Congfeng Liu, Jie Yang, and Fengshuai Wang. Joint TDOA and AOA location algorithm [J]. Journal of Systems Engineering and Electronics, 2013, 24(2): 183-188.
[10]	Huagang Yu, Gaoming Huang, Jun Gao, and Bo Yan. Practical constrained least-square algorithm for moving source location using TDOA and FDOA measurements [J]. Journal of Systems Engineering and Electronics, 2012, 23(4): 488-494.
[11]	Wengang Li, Kechu Yi, Daixian Zhu, and Yongjun Sun. Codebook selected beamforming algorithm for multiuser MIMO systems [J]. Journal of Systems Engineering and Electronics, 2011, 22(1): 170-174.

TDOA estimation of dual-satellites interference localization based on blind separation

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 11

References 15

Related Articles 11

Recommended Articles

Metrics

Comments