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Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (6): 1375-1380.doi: 10.23919/JSEE.2021.000117

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  • 收稿日期:2020-11-26 出版日期:2022-01-05 发布日期:2022-01-05

A robust TDOA based solution for source location using mixed Huber loss

Mingyi YOU1,2,*(), Annan LU1,2()   

  1. 1 Science and Technology on Communication Information Security Control Laboratory, No. 36 Research Institute of China Electronics Technology Group Corporation, Jiaxing 314033, China
    2 No. 36 Research Institute of China Electronics Technology Group Corporation, Jiaxing 314033, China
  • Received:2020-11-26 Online:2022-01-05 Published:2022-01-05
  • Contact: Mingyi YOU E-mail:youmingyi@126.com;luannan1959@163.com
  • About author:|YOU Mingyi was born in 1984. He received his B.S. and Ph.D. degrees both in mechanical engineering from Shanghai Jiao Tong University, Shanghai, in 2006 and 2012 respectively. He was invited to visit the S. M. Wu Manufacturing Research Center of the University of Michigan from 2007 to 2008. He is currently a senior expert in No.36 Research Institute of China Electronics Technology Group Corporation, leading a research group in radio direction finding and localization. His research interests include condition-based maintenance, radio direction finding, wireless localization and multi-object tracking. E-mail: youmingyi@126.com||LU Annan was born in 1959. He received his B.S. degree in mathematics from Hunan Education College in 1987, and M.S. degree in applied mathematics from Huazhong University of Science and Technology in 1989. He is the chief scientist of China Electronics Technology Group Corporation. His research interests include radio direction finding and passive localization. E-mail: luannan1959@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (U20B2038)

Abstract:

This paper proposes a source localization solution robust to measurement outliers in time differences of arrivals (TDOA) measurements. The solution uses a piecewise loss function named as mixed Huber loss (MHL) proposed based on the classical Huber loss (HL) and its refined version. The MHL is able to effectively mitigate the impact of all levels of measurement outliers by setting two triggering thresholds. In practice, appropriate triggering threshold values can be obtained through simulation given the level of measurement noise and a rough range of potential measurement outliers. A clustering based approach is proposed to further improve the robustness of localization solution against reference sensor related outliers. Simulations are included to examine the solution’s performance and compare it with several benchmarks. The proposed MHL based solution is shown to be superior to the classical solution and the benchmarks. The solution is shown to be even robust to multiple measurement outliers. Furthermore, the influence of range measurement outliers in the reference sensor can be effectively mitigated by the clustering based approach.

Key words: time differences of arrivals (TDOA), robust localization, Huber loss (HL), outlier mitigation