MIMO Radar Moving Target Detection in Homogeneous Clutter

被引:183
|
作者
He, Qian [1 ]
Lehmann, Nikolaus H. [3 ]
Blum, Rick S. [2 ]
Haimovich, Alexander M. [3 ]
机构
[1] Univ Elect Sci & Technol China, EE Dept, Chengdu 610054, Sichuan, Peoples R China
[2] Lehigh Univ, Dept Elect & Comp Engn, Bethlehem, PA 18015 USA
[3] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
基金
美国国家科学基金会;
关键词
DISTRIBUTED DETECTION; MULTIPLE SENSORS; DIVERSITY;
D O I
10.1109/TAES.2010.5545189
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A multiple-input multiple-output (MIMO) radar approach employing widely dispersed transmit and receive antennas is studied for the detection of moving targets. The MIMO radar transmits orthogonal waveforms from the different transmit antennas so these waveforms can be separated at each receive antenna. For a moving target in colored Gaussian noise-plus-clutter, we quantify the gains from having widely dispersed antennas that allow the overall system to "view" the target simultaneously from several different directions. The MIMO radar performance is contrasted with that of a traditional phased-array approach, which employs closely spaced antennas for this purpose. The MIMO radar approach is well suited to handle targets that have small radial velocities for scenarios in which colocated sensors cannot separate the target from the background clutter. Both a centralized processing and a simple distributed processing form of the MIMO radar approach are developed and studied, and the gains from the centralized version, which come at the price of additional complexity, are clearly demonstrated and explained intuitively. The constant false alarm rate (CFAR) property of an adaptive version of the MIMO moving target detector is also demonstrated for homogeneous clutter.
引用
收藏
页码:1290 / 1301
页数:12
相关论文
共 50 条
  • [1] Moving Target Detection for Polarimetric MIMO Radar in Homogeneous Gaussian Clutter
    Li, Na
    Cui, Guolong
    Kong, Lingjiang
    Zhang, Tianxian
    Liu, Qing Huo
    [J]. 2014 IEEE RADAR CONFERENCE, 2014, : 154 - 158
  • [2] Robust Moving Target Detection for Distributed MIMO Radar in Non-Homogeneous Clutter
    Hassanien, Aboulnasr
    Himed, Braham
    Rigling, Brian D.
    [J]. 2019 INTERNATIONAL RADAR CONFERENCE (RADAR2019), 2019, : 263 - 268
  • [3] RECURSIVE MOVING TARGET DETECTION WITH DISTRIBUTED MIMO RADAR IN CLUTTER WITH NON-HOMOGENEOUS POWER
    Wang, Pu
    Li, Hongbin
    Himed, Braham
    [J]. 2012 IEEE RADAR CONFERENCE (RADAR), 2012,
  • [4] MIMO radar moving target detection in compound-Gaussian clutter
    Li, Na
    Cui, Guolong
    Kong, Lingjiang
    Zhang, Tianxian
    Liu, Qing Huo
    [J]. 2014 IEEE RADAR CONFERENCE, 2014, : 149 - 153
  • [5] MIMO Radar Moving Target Detection in Clutter Using Supervised Learning
    Ye, Shabing
    He, Qian
    Wang, Xiaorui
    [J]. 2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
  • [6] Moving target detection with polarimetric distributed MIMO radar in heterogeneous clutter
    Xiang, Yan
    Liu, Zhiwen
    Huang, Yulin
    Xu, Yougen
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, 2019 (21): : 8009 - 8012
  • [7] MOVING TARGET DETECTION UNDER SPATIALLY NON-HOMOGENEOUS CLUTTER FOR AIRBORNE PHASED-MIMO RADAR
    Ghotbi, Shabnam
    Ahmadi, Moein
    Mohamedpour, Kamal
    [J]. 2015 IEEE RADAR CONFERENCE, 2015, : 82 - 86
  • [8] Moving Target Detection using Distributed MIMO Radar in Non-Homogeneous Clutter with Limited Training Data
    Smith, Jared P.
    Shaw, Arnab
    [J]. 2020 54TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2020, : 617 - 622
  • [9] MIMO Radar Moving Target Detection Against Compound-Gaussian Clutter
    Li, Na
    Cui, Guolong
    Kong, Lingjiang
    Yang, Xiaobo
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2014, 33 (06) : 1819 - 1839
  • [10] Detection of the airborne MIMO radar moving target in the non-Gaussian clutter
    Zhang, Yanfei
    Sun, Wenjie
    Sun, Yumei
    Meng, Xiangwei
    Chen, Xiangguang
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2020, 47 (03): : 23 - 31