Vessel tracking with small-aperture compact high-frequency surface wave radar

被引:10
|
作者
Sun, Weifeng [1 ]
Huang, Weimin [2 ]
Ji, Yonggang [3 ]
Dai, Yongshou [1 ]
Ren, Peng [1 ]
Zhou, Peng [1 ]
机构
[1] China Univ Petr East China, Coll Informat & Control Engn, Qingdao, Peoples R China
[2] Mem Univ Newfoundland, Fac Engn & Appl Sci Mem, St John, NF, Canada
[3] MNR, Lab Marine Phys & Remote Sensing, Inst Oceanog 1, Qingdao, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
D O I
10.1109/OCEANSE.2019.8867267
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Small-aperture compact high-frequency surface wave radar (HFSWR) has attracted significant attention due to its advantages of less space demand, lower power consumption and flexible deployment and maintenance. However, it has lower detection rate due to the reduced transmitting power and can only provide moderate range resolution and poor azimuth resolution because of the small number of receiving antennas, which exert more challenges for target tracking. In this paper, the general target tracking problems associated with compact HFSWR were investigated and an applicable vessel tracking method was proposed. Several schemes including a data association method based on minimal cost, a multi-step state prediction strategy, as well as an azimuth smoothing procedure were integrated together to improve the tracking performance. Target tracking field tests were conducted and the results showed that the quality of the obtained tracks is comparable to that obtained by larger array HFSWR, which demonstrates the target monitoring capacity of small-aperture compact HFSWR.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Target Monitoring Using Small-Aperture Compact High-Frequency Surface Wave Radar
    Ji, Yonggang
    Zhang, Jie
    Wang, Yiming
    Sun, Weifeng
    Li, Ming
    [J]. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2018, 33 (03) : 22 - 31
  • [2] Multiple Targets Tracking with Compact High-Frequency Surface Wave Radar
    Zeng, Xianpu
    Zhang, Mengmeng
    Zhang, Hui
    [J]. 2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 6771 - 6775
  • [3] Radio Frequency Interference Suppression in Small-Aperture High-Frequency Radars
    Zhou, Hao
    Wen, Biyang
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (04) : 788 - 792
  • [4] A Multi-Stage Vessel Tracklet Association Method for Compact High-Frequency Surface Wave Radar
    Sun, Weifeng
    Pang, Zhenzhen
    Huang, Weimin
    Ma, Peng
    Ji, Yonggang
    Dai, Yongshou
    Li, Xiaotong
    [J]. REMOTE SENSING, 2022, 14 (07)
  • [5] Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system
    ZHANG Hui
    LIU Yongxin
    JI Yonggang
    WANG Linglin
    [J]. Acta Oceanologica Sinica, 2018, 37 (07) : 131 - 140
  • [6] Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system
    Zhang Hui
    Liu Yongxin
    Ji Yonggang
    Wang Linglin
    [J]. ACTA OCEANOLOGICA SINICA, 2018, 37 (07) : 131 - 140
  • [7] Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system
    Hui Zhang
    Yongxin Liu
    Yonggang Ji
    Linglin Wang
    [J]. Acta Oceanologica Sinica, 2018, 37 : 131 - 140
  • [8] THE HIGH FREQUENCY SURFACE WAVE RADAR SOLUTION FOR VESSEL TRACKING BEYOND THE HORIZON
    Nikolic, Dejan
    Stojkovic, Nikola
    Petrovic, Pavle
    Tosic, Nikola
    Lekic, Nikola
    Stankovic, Zoran
    Doncov, Nebojsa
    [J]. FACTA UNIVERSITATIS-SERIES ELECTRONICS AND ENERGETICS, 2020, 33 (01) : 37 - 59
  • [9] An estimation and verification of vessel radar cross sections for high-frequency surface-wave radar
    Leong, Hank
    Wilson, Harold
    [J]. IEEE ANTENNAS AND PROPAGATION MAGAZINE, 2006, 48 (02) : 11 - 16
  • [10] Wave Height and Wave Period Measurements Using Small-Aperture HF Radar
    Deng, Min
    Zhao, Chen
    Chen, Zezong
    Ding, Fan
    Wang, Ting
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60