An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing

被引：11
|
作者：
Slesicka, Anna [1 ]
Kawalec, Adam [1 ]
机构：
[1] Mil Univ Technol, Fac Elect, Inst Radioelect, Gen S Kaliskiego 2, PL-00908 Warsaw, Poland
来源：
SENSORS | 2020年 / 20卷 / 12期
关键词：
space-time adaptive processing; STAP; sparse representation; MIMO radar; orthogonal matching pursuit algorithm; clutter covariance matrix; SPARSE RECOVERY; STAP METHOD; PERFORMANCE;
D O I：
10.3390/s20123468
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using the MIMO (Multiple Input Multiple Output) radar geometry model and the orthogonal matching pursuit (OMP) algorithm. For the estimation of spatio-temporal spectrum of clutter and target, a model of joint sparse recovery was established. As a result, clutter suppression and target detection in a heterogeneous environment will be achieved. In addition, the proposed method uses a single snapshot of the radar data cube, which eliminates the need for access to all training cells.
引用
收藏
页码：1 / 13
页数：13
相关论文
共 50 条
  • [21] CQCNN-SV algorithm for wideband space-time adaptive processing
    Du, Ruiyan
    Chen, Xiaodan
    Meng, Guangyu
    Feng, Liwen
    Gao, Yajie
    Liu, Fulai
    [J]. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2024, 35 (02) : 139 - 154
  • [22] A fast orthogonal matching pursuit algorithm
    Gharavi-Alkhansari, M
    Huang, TS
    [J]. PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 1389 - 1392
  • [23] Application of Riemannian Mean of Covariance Matrices to Space-Time Adaptive Processing
    Balaji, Bhashyam
    Barbaresco, Frederic
    [J]. 2012 9TH EUROPEAN RADAR CONFERENCE (EURAD), 2012, : 50 - 53
  • [24] Application of the minimum variance monopulse technique to space-time adaptive processing
    Paine, Andrew S.
    [J]. IEEE National Radar Conference - Proceedings, 2000, : 596 - 601
  • [25] Application of the minimum variance monopulse technique to space-time adaptive processing
    Paine, AS
    [J]. RECORD OF THE IEEE 2000 INTERNATIONAL RADAR CONFERENCE, 2000, : 596 - 601
  • [26] Adaptive Pulse Design for Space-Time Adaptive Processing
    Patton, Lee K.
    Hack, Daniel E.
    Himed, Braham
    [J]. 2012 IEEE 7TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2012, : 25 - 28
  • [27] Simulation of the communication time for a space-time adaptive processing algorithm on a parallel embedded system
    West, JM
    Antonio, JK
    [J]. PARALLEL AND DISTRIBUTED PROCESSING, 1998, 1388 : 979 - 986
  • [28] Space-time adaptive processing for space based radar
    Schuman, HK
    Li, PG
    Szczepanski, W
    Graham, J
    [J]. 2004 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-6, 2004, : 1904 - 1910
  • [29] An Experimental Study on Application of Orthogonal Matching Pursuit Algorithm for Image Denoising
    Suchithra, M.
    Sukanya, P.
    Prabha, Pinchu
    Sikha, O. K.
    Sowmya, V
    Soman, K. P.
    [J]. 2013 IEEE INTERNATIONAL MULTI CONFERENCE ON AUTOMATION, COMPUTING, COMMUNICATION, CONTROL AND COMPRESSED SENSING (IMAC4S), 2013, : 729 - 736
  • [30] Estimation of time-varying channels with orthogonal matching pursuit algorithm
    Karabulut, GZ
    Yongaçoglu, A
    [J]. 2005 IEEE SARNOFF SYMPOSIUM ON ADVANCES IN WIRED AND WIRELESS COMMUNICATION, 2005, : 165 - 168
12345