An Adaptive Angle-Doppler Compensation Method for Airborne Bistatic Radar Based on PAST

被引:0
作者
Hang, Xu [1 ]
Jun, Zhao [1 ]
机构
[1] Air Force Engn Univ, Aviat Maintenance Sch NCO, Xinyang 464000, Peoples R China
来源
6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018) | 2018年 / 1967卷
关键词
Airborne Bistatic Radar; Projection Approximation Subspace Tracking; Adaptive Angle Doppler Compensation; Space time Adaptive Processing; STAP;
D O I
10.1063/1.5039041
中图分类号
O59 [应用物理学];
学科分类号
摘要
Adaptive angle Doppler compensation method extract the requisite information based on the data itself adaptively, thus avoiding the problem of performance degradation caused by inertia system error. However, this method requires estimation and egiendecomposition of sample covariance matrix, which has a high computational complexity and limits its real-time application. In this paper, an adaptive angle Doppler compensation method based on projection approximation subspace tracking (PAST) is studied. The method uses cyclic iterative processing to quickly estimate the positions of the spectral center of the maximum eigenvector of each range cell, and the computational burden of matrix estimation and eigen-decompositon is avoided, and then the spectral centers of all range cells is overlapped by two dimensional compensation. Simulation results show the proposed method can effectively reduce the no homogeneity of airborne bistatic radar, and its performance is similar to that of egien-decomposition algorithms, but the computation load is obviously reduced and easy to be realized.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Airborne Radar Space-Time Adaptive Processing Algorithm Based on Dictionary and Clutter Power Spectrum Correction
    Gao, Zhiqi
    Deng, Wei
    Huang, Pingping
    Xu, Wei
    Tan, Weixian
    ELECTRONICS, 2024, 13 (11)
  • [42] A knowledge aided SPICE space time adaptive processing method for airborne radar with conformal array
    Tao, Fuyu
    Wang, Tong
    Wu, Jianxin
    Su, Yuyu
    SIGNAL PROCESSING, 2018, 152 : 54 - 62
  • [43] Clutter Rank Estimation Method for Bistatic Radar Systems Based on Prolate Spheroidal Wave Functions
    Tan, Xiao
    Yang, Zhiwei
    Li, Xianghai
    Liu, Lei
    Li, Xiaorui
    REMOTE SENSING, 2024, 16 (16)
  • [44] A Fast IAA-Based SR-STAP Method for Airborne Radar
    Zhang, Shuguang
    Wang, Tong
    Liu, Cheng
    Ren, Bing
    REMOTE SENSING, 2024, 16 (08)
  • [45] Space time adaptive processing for airborne MIMO radar based on space time sampling matrix
    Xiong, Yuanyi
    Xie, Wenchong
    Wang, Yongliang
    SIGNAL PROCESSING, 2023, 211
  • [46] SPACE-TIME ADAPTIVE PROCESSING WITH MULTIPLE MEASUREMENT VECTORS BASED ON TSBL FOR AIRBORNE RADAR
    Cui, Jun-Hao
    Chen, Zhang-Xin
    Liang, Jing
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 4780 - 4783
  • [47] Clutter suppression algorithm for non-side looking airborne radar with high pulse repetition frequency based on elevation-compensation-prefiltering
    Li, Xinzhe
    Xie, Wenchong
    Wang, Yongliang
    IET RADAR SONAR AND NAVIGATION, 2020, 14 (01) : 19 - 26
  • [48] Dimension-reduced bi-iterative space-time adaptive processing method for airborne radar
    Wang, Yuxiang
    Li, Xiaoming
    Gao, Wei
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (21): : 8138 - 8141
  • [49] A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar
    Liu, Cheng
    Wang, Tong
    Zhang, Shuguang
    Ren, Bing
    SENSORS, 2022, 22 (07)
  • [50] A STAP method based on atomic norm minimization for transmit beamspace-based airborne MIMO radar
    Pang, Xiaojiao
    Zhao, Yongbo
    Cao, Chenghu
    Hu, Yili
    Chen, Sheng
    DIGITAL SIGNAL PROCESSING, 2021, 111