基于幅度信息的海上多目标稳健跟踪方法

柳超; 张志国; 孙进平

doi:10.11959/j.issn.1000-436x.2019037

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基于幅度信息的海上多目标稳健跟踪方法

学术论文 | 更新时间：2024-06-05

- 基于幅度信息的海上多目标稳健跟踪方法
- Amplitude information based robust tracking method for multiple marine targets
- 通信学报 2019年40卷第2期页码：60-69
- 作者机构：
  
  1. 北京航空航天大学电子信息工程学院，北京 100191
  2. 海军92853部队，辽宁葫芦岛 125106
- 作者简介：
  
  [ "柳超（1984- ），男，山东宁阳人，北京航空航天大学博士生，主要研究方向为雷达数据处理。" ]
  [ "张志国（1995- ），男，山东聊城人，北京航空航天大学博士生，主要研究方向为雷达数据处理。" ]
  [ "孙进平（1975- ），男，甘肃天水人，博士，北京航空航天大学教授、博士生导师，主要研究方向为高分辨率雷达信号处理、数据处理、稀疏微波成像。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61471019);国家自然科学基金资助项目(U1633122)
- DOI：10.11959/j.issn.1000-436x.2019037
  中图分类号： TP391.41
- 网络出版日期：2019-02，
  
  纸质出版日期：2019-02-25
- 稿件说明：
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柳超, 张志国, 孙进平. 基于幅度信息的海上多目标稳健跟踪方法[J]. 通信学报, 2019,40(2):60-69.

Chao LIU, Zhiguo ZHANG, Jinping SUN. Amplitude information based robust tracking method for multiple marine targets[J]. Journal on communications, 2019, 40(2): 60-69.
柳超, 张志国, 孙进平. 基于幅度信息的海上多目标稳健跟踪方法[J]. 通信学报, 2019,40(2):60-69. DOI： 10.11959/j.issn.1000-436x.2019037.

Chao LIU, Zhiguo ZHANG, Jinping SUN. Amplitude information based robust tracking method for multiple marine targets[J]. Journal on communications, 2019, 40(2): 60-69. DOI： 10.11959/j.issn.1000-436x.2019037.

摘要

提出了一种基于海杂波中目标幅度信息的稳健多伯努利滤波器，利用海杂波和目标的幅度信息改进量测似然，当目标与杂波相距较近时，能够更好地区分目标和杂波，提升对海探测环境下雷达的多目标跟踪性能。通过在K分布海杂波环境下对Swerling Ⅰ型起伏目标的跟踪实验，证明了所提方法具有比稳健多伯努利滤波器更优的多目标势估计、状态估计和杂波率估计性能。

Abstract

A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed

in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood.Therefore

the proposed approach could distinguish targets from clutter better when they were spatially close

which further enhanced the ability to track targets in marine radar detection applications.The simulation results of Swerling type Ⅰfluctuating targets tracking in K distributed sea clutter show that

the proposed algorithm is superior in performance to the robust multi-Bernoulli filter in terms of state estimation

cardinality estimation

as well as clutter rate estimation.

关键词

Keywords

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