Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation

被引:0
作者
Lu, Jianbin [1 ]
Yue, Zhibin [1 ]
Wan, Lu [1 ]
机构
[1] Naval Univ Engn, Sch Elect Engn, Wuhan 430033, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 09期
基金
中国国家自然科学基金;
关键词
radar automatic target recognition (RATR); high-resolution range profile (HRRP); feature fusion; time-step correlation-based feature fusion (TCFF); RADAR; CLASSIFICATION;
D O I
10.3390/app13095286
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based Feature Fusion (TCFF) method. This method calculates the covariance matrix at the time step of the two features extracted by the two channels, and assigns different weights to the time step according to the strength of the covariance correlation for feature fusion. The experimental results on the simulated ship target HRRP dataset show that the feature fusion method can achieve better recognition performance than the single channel model. Compared with simple feature fusion such as element addition and element contacting, it can also achieve better recognition results.
引用
收藏
页数:14
相关论文
共 32 条
  • [1] Bo Feng, 2011, Proceedings of the 2011 IEEE CIE International Conference on Radar (Radar), P642, DOI 10.1109/CIE-Radar.2011.6159622
  • [2] Chen J., 2010, THESIS XIDIAN U XIAN
  • [3] Cho KYHY, 2014, Arxiv, DOI [arXiv:1406.1078, DOI 10.48550/ARXIV.1406.1078]
  • [4] Radar automatic target recognition using complex high-resolution range profiles
    Du, L.
    Liu, H.
    Bao, Z.
    Zhang, J.
    [J]. IET RADAR SONAR AND NAVIGATION, 2007, 1 (01) : 18 - 26
  • [5] Radar HRRP target recognition based on higher order spectra
    Du, L
    Liu, HW
    Bao, Z
    Xing, MD
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (07) : 2359 - 2368
  • [6] Bayesian Spatiotemporal Multitask Learning for Radar HRRP Target Recognition
    Du, Lan
    Wang, Penghui
    Liu, Hongwei
    Pan, Mian
    Chen, Feng
    Bao, Zheng
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (07) : 3182 - 3196
  • [7] Radar HRRP target recognition with deep networks
    Feng, Bo
    Chen, Bo
    Liu, Hongwei
    [J]. PATTERN RECOGNITION, 2017, 61 : 379 - 393
  • [8] Radar HRRP Target Recognition Based on Deep Multi-Scale 1D Convolutional Neural Network
    Guo Chen
    Jian Tao
    Xu Congan
    He You
    Sun Shun
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2019, 41 (06) : 1302 - 1309
  • [9] Hochreiter S, 1997, NEURAL COMPUT, V9, P1735, DOI [10.1162/neco.1997.9.1.1, 10.1007/978-3-642-24797-2]
  • [10] Decision templates for multiple classifier fusion: an experimental comparison
    Kuncheva, LI
    Bezdek, JC
    Duin, RPW
    [J]. PATTERN RECOGNITION, 2001, 34 (02) : 299 - 314