Radar HRRP Target Recognition Using Scattering Centers Fuzzy Matching

被引:0
|
作者
Wang, Yu [1 ]
Zhang, Liang [1 ]
Wang, Suixue [1 ]
Zhao, Tong [2 ]
Wang, Yanhua [1 ]
Li, Yang [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing Key Lab Embedded Real Time Informat Proc, Beijing, Peoples R China
[2] Beijing Racobit Elect Informat Technol Co Ltd, Beijing, Peoples R China
来源
2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年
关键词
Radar target recognition; scattering centers; fuzzy matching;
D O I
暂无
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
Radar target recognition typically uses feature sets derived from high resolution range profile as an input to a classifier. The scattering centers can approximately model the radar optical region target. Therefore, the radar target recognition based on scattering centers of high resolution range profile has drawn more and more interests in recent years and a lot of methods has been proposed. However, conventional methods often use the location and amplitude information of scattering centers separately and can be sensitive to the fake scattering centers and the scattering centers shifts, which influence the performance of recognition. Target recognition based on the scattering centers fuzzy matching have the promise of achieving better performance. In this paper, a method of scattering centers extraction based on the sparse representation theory and target recognition based on the scattering centers fuzzy matching are presented. The experimental result based on the measured data indicates that the proposed method of target recognition can have good performance.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] META NETWORK FOR RADAR HRRP NONCOOPERATIVE TARGET RECOGNITION WITH MISSING ASPECTS
    Tian, Long
    Chen, Bo
    Peng, Yang
    Du, Chuan
    Wu, Zhenhua
    Liu, Hongwei
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2053 - 2056
  • [42] Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
    Guo, Dandan
    Chen, Bo
    Chen, Wenchao
    Wang, Chaojie
    Liu, Hongwei
    Zhou, Mingyuan
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 : 5795 - 5809
  • [43] Radar HRRP target recognition by the higher-order spectra features
    Du, L
    Liu, HW
    Bao, Z
    Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Vols 1and 2, 2004, : 627 - 632
  • [44] Wavelet Autoencoder for Radar HRRP Target Recognition with Recurrent Neural Network
    Zhang, Mengjiao
    Chen, Bo
    INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, 2018, 11266 : 262 - 275
  • [45] Radar automatic target recognition based on feature extraction for complex HRRP
    Du Lan
    Liu HongWei
    Bao Zheng
    Zhang JunYing
    SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2008, 51 (08): : 1138 - 1153
  • [46] Radar HRRP target recognition based on stacked denosing sparse autoencoder
    Tai, Guangxing
    Wang, Yanhua
    Li, Yang
    Hong, Wei
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (21): : 7945 - 7949
  • [47] Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
    Chen J.
    Du L.
    Liao L.
    Journal of Radars, 2022, 11 (06) : 1020 - 1047
  • [48] Orthogonal maximum margin projection subspace for radar target HRRP recognition
    Daiying Zhou
    EURASIP Journal on Wireless Communications and Networking, 2016
  • [49] Target Recognition of SAR Images via Matching Attributed Scattering Centers with Binary Target Region
    Tan, Jian
    Fan, Xiangtao
    Wang, Shenghua
    Ren, Yingchao
    SENSORS, 2018, 18 (09)
  • [50] POSITION EMBEDDING-FREE TRANSFORMER FOR RADAR HRRP TARGET RECOGNITION
    Diao, Yujia
    Liu, Shuowei
    Gao, Xunzhang
    Liu, Afei
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1896 - 1899