MIMO SAR OFDM chirp waveform design and GMTI with RPCA based method

被引:13
|
作者
Huang, Yan [1 ]
Liao, Guisheng [1 ]
Xu, Jingwei [1 ]
Yang, Dong [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
关键词
Multiple-input multiple-output synthetic aperture radar (MIMO SAR); Ground moving target indication (GMTI); Robust principal component analysis (RPCA); Waveform design; Orthogonal frequency division multiplexing (OFDM) chirp signal; EXTRACTION; SYSTEM;
D O I
10.1016/j.dsp.2016.01.006
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
Multiple-input multiple-output synthetic aperture radar (MIMO SAR) has drawn wide attention for its increased degrees of freedom (DOFs) compared to the traditional multi-channel SAR (MC-SAR) system. The MIMO SAR system, which makes each antenna illuminate one subswath, can widen the range swath without decreasing PRF. One of the foremost tasks involved in the MIMO SAR system is the waveform design at the transmitter. Moreover, at the receiver, how to accurately separate the auto-correlation signal from the cross-correlation interferences is the other important issue. In this paper, an orthogonal frequency division multiplexing (OFDM) chirp signal designing method is firstly proposed, which is based on low cross-correlation interferences and good peak-to-sidelobe ratio (PSLR) rules. Using the designed OFDM chirp signals, the focused signal of MIMO SAR system matched the robust principal component analysis (RPCA) basic model. The moving target (sparse signal), clutter (low-rank signal) and noise (noise signal) can be separated directly. Hence, RPCA based method can be employed for ground moving target indication (GMTI) with no need for extracting the matched signal or suppressing the unmatched interferences. Extensive simulations demonstrate the effectiveness of the waveform designing method and GMTI with RPCA based method for MIMO SAR system. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:184 / 195
页数:12
相关论文
共 50 条
  • [1] MIMO SAR GMTI with RPCA Based Method
    Huang, Yan
    Liao, Guisheng
    2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2015, : 827 - 830
  • [2] Waveform diversity design for an MIMO SAR system based on an OFDM chirp
    Zhao, Yujiu
    Lu, Xingyu
    Yang, Jianchao
    Gu, Hong
    Su, Weimin
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (19): : 5626 - 5628
  • [3] Implementation of the OFDM Chirp Waveform on MIMO SAR Systems
    Wang, Jie
    Chen, Long-Yong
    Liang, Xing-Dong
    Ding, Chi-biao
    Li, Kun
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (09): : 5218 - 5228
  • [4] MIMO SAR OFDM Chirp Waveform Diversity Design With Random Matrix Modulation
    Wang, Wen-Qin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (03): : 1615 - 1625
  • [5] An improved OFDM chirp waveform used for MIMO SAR system
    Wang Jie
    Liang XingDong
    Ding ChiBiao
    Chen LongYong
    Zhou LiangJiang
    Dong YongWei
    SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (06) : 1 - 9
  • [6] An improved OFDM chirp waveform used for MIMO SAR system
    WANG Jie
    LIANG XingDong
    DING ChiBiao
    CHEN LongYong
    ZHOU LiangJiang
    DONG YongWei
    Science China(Information Sciences), 2014, 57 (06) : 65 - 73
  • [7] An improved OFDM chirp waveform used for MIMO SAR system
    Jie Wang
    XingDong Liang
    ChiBiao Ding
    LongYong Chen
    LiangJiang Zhou
    YongWei Dong
    Science China Information Sciences, 2014, 57 : 1 - 9
  • [8] Circulate shifted OFDM chirp waveform diversity design with digital beamforming for MIMO SAR
    Shangwen LIU
    Zenghui ZHANG
    Wenxian YU
    ScienceChina(InformationSciences), 2017, 60 (10) : 217 - 228
  • [9] Circulate shifted OFDM chirp waveform diversity design with digital beamforming for MIMO SAR
    Shangwen Liu
    Zenghui Zhang
    Wenxian Yu
    Science China Information Sciences, 2017, 60
  • [10] Circulate shifted OFDM chirp waveform diversity design with digital beamforming for MIMO SAR
    Liu, Shangwen
    Zhang, Zenghui
    Yu, Wenxian
    SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (10)