Source localization in bi-static sonar systems based on element-level data fusion

被引：0
|
作者：
Li, Xiukun [1 ,2 ,3 ]
Wang, Ji [1 ,2 ,3 ]
Yu, Ge [1 ,2 ,3 ]
机构：
[1] Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin
[2] Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Ministry of Industry and Information Technology, Harbin
[3] College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2024年 / 45卷 / 10期
关键词：
adaptive weight; bi-static sonar; data fusion; localization equations; minimum variance distortionless response; sidelobe suppression; source localization algorithms; spatial spectrum estimation;
D O I：
10.11990/jheu.202212027
中图分类号：
学科分类号：
摘要：
In a bi-static system, sources localization algorithms that solve bi-static localization equation usually exhibit location ambiguity when multiple targets exist. To solve this problem, a target location algorithm based on element data fusion is proposed. The algorithm uses the correspondence between time and azimuth in bi-static system to approximate the received data into a generalized DOA estimation model, so as to realize simultaneous compensation of delay and azimuth and transform the localization problem into a spatial spectrum estimation problem. The weight of the minimum variance distortionless response (MVDR) algorithm is calculating adaptively by adding a virtual source, and side-lobes are suppressed by the adaptive weight. Thus, the algorithm does not exist location ambiguity in the case of multiple targets, thus eliminating the subsequent steps such as data association. The numerical simulation results show that compared with the classical algorithm, the proposed algorithm obtains higher positioning accuracy in the case of single target and two targets, and the positioning error is more than 5 dB lower than that of the classical method under the condition of high signal-to-noise ratio. Numerical simulations and analyses demonstrate the application potential of the proposed method in bistatic sonar. © 2024 Editorial Board of Journal of Harbin Engineering. All rights reserved.
引用
收藏
页码：2007 / 2013
页数：6
相关论文
共 13 条
  • [1] OUYANG Xinxin, WAN Qun, CAO Jingmin, Et al., Direct TDOA geolocation of multiple frequency-hopping emitters in flat fading channels[J], IET signal processing, 11, 1, pp. 80-85, (2017)
  • [2] BAI Yang, DENG Weibo, ZHANG Xin, A weighted positioning method for high-frequency ground wave bistatic radar, 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), pp. 534-537, (2020)
  • [3] YANG Xuan, TANG Jun, LIU Yaqi, A novel multi-radar plot fusion scheme based on parallel and serial plot fusion algorithm [ C ], 2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST), pp. 213-217, (2017)
  • [4] SHIN H, KU B, NELSON J K, Et al., Robust target tracking with multi-static sensors under insufficient TDOA information, Sensors (basel), 18, 5, (2018)
  • [5] LYU Xiaoyong, WANG Jun, Sequential multi-sensor JPDA for target tracking in passive multi-static radar with range and Doppler measurements [ J], IEEE access, 7, pp. 34488-34498, (2019)
  • [6] ZHANG Qianghui, WU Junjie, SONG Yue, Et al., Bistatic-range-doppler-aperture wavenumber algorithm for forward-looking spotlight SAR with stationary transmitter and maneuvering receiver [ J], IEEE transactions on geoscience and remote sensing, 59, 3, pp. 2080-2094, (2021)
  • [7] SUN Weifeng, JI Mengjie, HUANG Weimin, Et al., Vessel tracking using bistatic compact HFSWR, Remote sensing, 12, 8, (2020)
  • [8] ZHANG Ting, YANG T C, XU Wen, Bistatic localization of objects in very shallow water, IEEE access, 7, pp. 180640-180651, (2019)
  • [9] TRAN H T, HEADING E, NG B., Multi-bistatic Doppler radar tomography for non-cooperative target imaging, 2018 International Conference on Radar (RADAR), (2018)
  • [10] WANG Xin, SONG Xiaozong, Sparse imaging-based clutter suppression and refocusing of MTs in passive bistatic SAR, IEEE access, 8, pp. 12622-12631, (2020)
12