Radar Detection and Parameter Estimation of High-Speed Target Based on MART-LVT

被引:42
|
作者
Li, Xiaolong [1 ]
Sun, Zhi [1 ]
Yi, Wei [1 ]
Cui, Guolong [1 ]
Kong, Lingjiang [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
High speed target detection; coherent integration; range cell migration; Doppler spread; modified axis rotation transform; RADON-FOURIER TRANSFORM; MANEUVERING TARGET; ESTIMATION ALGORITHM; KEYSTONE TRANSFORM; MOVING-TARGET; COHERENT DETECTION;
D O I
10.1109/JSEN.2018.2882198
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
Long-time coherent accumulation can effectively improve the detection and motion parameters estimation ability of radar for maneuvering weak target. Nevertheless, the range cell migration (RCM) and Doppler spread caused by high-speed maneuvering target may make the detection and estimation performance to degrade seriously. In this paper, a new coherent integration (CI) approach based on modified axis rotation transform (MART) and Lv's transform (LVT), i.e., MART-LVT, is proposed to achieve the detection and parameter estimation of target with high velocity and acceleration motion. The MART-LVT method can correct RCM via rotating the coordinate locations of echo data and obtain the CI and parameters estimation of target signal via LVT. In comparison with the existing representative coherent detection methods, MART-LVT can achieve better integration performance and detection probability. Simulations and real data demonstrate the effectiveness of MART-LVT.
引用
收藏
页码:1478 / 1486
页数:9
相关论文
共 50 条
  • [21] NU-SCGRFT-Based Coherent Integration Method for High-Speed Maneuvering Target Detection and Estimation in Bistatic PRI-Agile Radar
    Li, Xiaolong
    Zhao, Kexin
    Wang, Mingxing
    Cui, Guolong
    Yeo, Tat Soon
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024, 60 (02) : 2153 - 2168
  • [22] Computational efficient segmented integration method for high-speed maneuvering target detection
    Chen, Haixu
    Li, Xiaolong
    Wang, Kaiyao
    Sun, Zhi
    Cui, Guolong
    SIGNAL PROCESSING, 2022, 195
  • [23] A Coherent Detection and Velocity Estimation Algorithm for the High-Speed Target Based on the Modified Location Rotation Transform
    Sun, Zhi
    Li, Xiaolong
    Yi, Wei
    Cui, Guolong
    Kong, Lingjiang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (07) : 2346 - 2361
  • [24] High-speed maneuvering target detection approach based on joint RFT and keystone transform
    TIAN Jing
    CUI Wei
    SHEN Qing
    WEI ZiXiang
    WU SiLiang
    Science China(Information Sciences), 2013, 56 (06) : 93 - 105
  • [25] High-speed maneuvering target detection approach based on joint RFT and keystone transform
    Jing Tian
    Wei Cui
    Qing Shen
    ZiXiang Wei
    SiLiang Wu
    Science China Information Sciences, 2013, 56 : 1 - 13
  • [26] Combined Coherent and Non-Coherent Long-Time Integration Method for High-Speed Target Detection Using High-Frequency Radar
    Liu, Gan
    Tian, Yingwei
    Wen, Biyang
    Liu, Chen
    REMOTE SENSING, 2024, 16 (12)
  • [27] Coherent Integration for Radar High-Speed Maneuvering Target Based on Frequency-Domain Second-Order Phase Difference
    Jin, Ke
    Lai, Tao
    Wang, Yubing
    Li, Gongquan
    Zhao, Yongjun
    ELECTRONICS, 2019, 8 (03)
  • [28] High-Speed Target Tracking Method for Compact HF Radar
    Liu, Gan
    Tian, Yingwei
    Yang, Jing
    Ma, Shengbo
    Wen, Biyang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 13276 - 13291
  • [29] WRFRFT-based coherent detection and parameter estimation of radar moving target with unknown entry/departure time
    Li, Xiaolong
    Sun, Zhi
    Zhang, Tianxian
    Yi, Wei
    Cui, Guolong
    Kong, Lingjiang
    SIGNAL PROCESSING, 2020, 166 (166)
  • [30] Generalized Dechirp-Keystone Transform for Radar High-Speed Maneuvering Target Detection and Localization
    Zheng, Jibin
    Zhu, Kangle
    Niu, Zhiyong
    Liu, Hongwei
    Liu, Qing Huo
    REMOTE SENSING, 2021, 13 (17)