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Multi-sensor multi-target bearing-only tracking with signal time delay

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Abstract

In this paper, we examine the multi-sensor multi-target, bearings-only tracking problem with signal time delay. This problem is challenging due to the system incomplete observability and the signal time delay caused by the signal propagation. A new Gaussian Sum Shifted Rayleigh Filter (GS-SRF-N) is presented for the signal time delay by using parameter estimation method in Gaussian Sum Shifted Rayleigh Filter (GS-SRF). Furthermore, a forward forecasting method is proposed to solve the time-offset between the sensors due to the signal time delay. The simulation shows that the proposed method is superior to other nonlinear filters in signal propagation delay environment.

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Funding

This work is funded partly by National Natural Science Foundation of China under Grant No.U22A2047, partly by Zhejiang Provincial Science and Technology Project under Grant No.2022C01095 and partly by the Technology Foundation for Basic Enhancement Plan 2021-JCQ-JJ-0301.

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Authors and Affiliations

  1. School of Automation, Hangzhou Dianzi University, Second Street, Hangzhou, 310018, Zhejiang, China

    Zhicheng Sheng, Yunfei Guo & Anke Xue

  2. Zhejiang Chitic Control Engineering Co., Ltd, Sixth Street, Hangzhou, 310018, Zhejiang, China

    Weizhi Han

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  1. Zhicheng Sheng
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  2. Yunfei Guo
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  3. Anke Xue
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  4. Weizhi Han
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Contributions

Yunfei Guo was in charge of the whole trial; Zhicheng Sheng wrote the manuscript; Anke Xue and Weizhi Han assisted with sampling and laboratory analyses. All authors read and approved the final manuscript.

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Correspondence to Yunfei Guo.

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Sheng, Z., Guo, Y., Xue, A. et al. Multi-sensor multi-target bearing-only tracking with signal time delay. SIViP 17, 4495–4502 (2023). https://doi.org/10.1007/s11760-023-02683-z

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  • DOI: https://doi.org/10.1007/s11760-023-02683-z

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