Labelled multi-Bernoulli filter with amplitude information for tracking marine weak targets

被引:13
|
作者
Sun, Jinping [1 ]
Liu, Chao [1 ]
Li, Qing [2 ]
Chen, Xiaolong [3 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Univ Cambridge, Dept Engn, Cambridge CB1 2PZ, England
[3] Naval Aviat Univ, Yantai 264001, Peoples R China
来源
IET RADAR SONAR AND NAVIGATION | 2019年 / 13卷 / 06期
基金
中国国家自然科学基金;
关键词
MULTITARGET; DETECT;
D O I
10.1049/iet-rsn.2018.5293
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In marine radar detection applications, the threshold is generally lowered to detect weak targets with low signal to clutter ratios. Consequently, however, a large number of sea clutters can exceed the threshold, which leads to overwhelming spurious detections and makes the subsequent multi-target tracking (MTT) difficult. In order to improve the tracking performance for marine weak targets, here, an approach to exploit the amplitude information of neighbouring cells is introduced. First, the joint amplitude likelihood of the neighbouring cells in sea clutter is derived, and then it is incorporated into the labelled multi-Bernoulli filter to enhance the discrimination between targets and clutters. The simulation results of Swerling type 1 targets tracking in K-distributed sea clutter show that the proposed method is superior in state estimation and cardinality estimation accuracy compared to the labelled multi-Bernoulli filter utilising amplitude information of single cells. In addition, experiment results with real data prove its applicability to marine target tracking scenarios.
引用
收藏
页码:983 / 991
页数:9
相关论文
共 50 条
  • [1] Amplitude Information Aided Robust Multi-Bernoulli Filter for Marine Target Tracking
    Liu, Chao
    Zhang, Zhiguo
    Sun, Jinping
    Qi, Yaolong
    [J]. PROCEEDINGS OF 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2018, : 863 - 867
  • [2] Multiple cell tracking by generalised labelled multi-Bernoulli filter
    Shi, Jian
    Lu, Ming-Li
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2019, 61 (04) : 273 - 277
  • [3] Tracking multiple extended targets with multi-Bernoulli filter
    Hu, Qi
    Ji, Hongbing
    Zhang, Yongquan
    [J]. IET SIGNAL PROCESSING, 2019, 13 (04) : 443 - 455
  • [4] Cardinality Balanced Multi-Target Multi-Bernoulli Filter for Target Tracking with Amplitude Information
    Yang Feng
    Zhang Wanying
    Liang Yan
    Su Yazhe
    Yao Xuanzheng
    [J]. 2016 19TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2016, : 958 - 964
  • [5] A Generalised Labelled Multi-Bernoulli Filter for Extended Multi-target Tracking
    Beard, Michael
    Reuter, Stephan
    Granstrom, Karl
    Vo, Ba-Tuong
    Vo, Ba-Ngu
    Scheel, Alexander
    [J]. 2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2015, : 991 - 998
  • [6] Multi-Bernoulli Filter for Tracking Multiple Targets Using Sensor Array
    ZHANG Guang-pu
    ZHENG Ce
    QIU Long-hao
    SUN Si-bo
    [J]. China Ocean Engineering, 2020, 34 (02) : 245 - 256
  • [7] A Hypergraph Matching Labeled Multi-Bernoulli Filter for Group Targets Tracking
    Yu, Haoyang
    An, Wei
    Zhu, Ran
    Guo, Ruibin
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2019, E102D (10) : 2077 - 2081
  • [8] Multi-Bernoulli Filter for Tracking Multiple Targets Using Sensor Array
    Zhang, Guang-pu
    Zheng, Ce
    Qiu, Long-hao
    Sun, Si-bo
    [J]. CHINA OCEAN ENGINEERING, 2020, 34 (02) : 245 - 256
  • [9] Labeled Multi-Bernoulli Filter Joint Detection and Tracking of Radar Targets
    Liu, Rang
    Fan, Hongqi
    Xiao, Huaitie
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (19):
  • [10] Multi-Bernoulli Filter for Tracking Multiple Targets Using Sensor Array
    Guang-pu Zhang
    Ce Zheng
    Long-hao Qiu
    Si-bo Sun
    [J]. China Ocean Engineering, 2020, 34 : 245 - 256