Pitfalls and possibilities of radar compressive sensing

被引：8
|
作者：
Goodman, Nathan A. [1 ]
Potter, Lee C. [2 ]
机构：
[1] Univ Oklahoma, Sch Elect & Comp Engn, Norman, OK 73019 USA
[2] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
来源：
APPLIED OPTICS | 2015年 / 54卷 / 08期
基金：
美国国家科学基金会;
关键词：
SPARSE SIGNAL RECONSTRUCTION; STATE-SPACE; ENHANCEMENT; ALGORITHMS; DESIGN; NOISE; DECOMPOSITION; OPTIMIZATION; RECOVERY;
D O I：
10.1364/AO.54.0000C1
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we consider the application of compressive sensing (CS) to radar remote sensing applications. We survey a suite of practical system-level issues related to the compression of radar measurements, and we advocate the consideration of these issues by researchers exploring potential gains of CS in radar applications. We also give abbreviated examples of decades-old radio-frequency (RF) practices that already embody elements of CS for relevant applications. In addition to the cautionary implications of system- level issues and historical precedents, we identify several promising results that RF practitioners may gain from the recent explosion of CS literature. (C) 2015 Optical Society of America
引用
收藏
页码：C1 / C13
页数：13
相关论文
共 50 条
  • [31] Compressive sensing for multi-carrier EBPSK radar
    Wu, L. (wuln@seu.edu.cn), 1600, Southeast University (44):
  • [32] Stochastic Deep Learning for Compressive-sensing Radar
    Pribic, Radmila
    2019 INTERNATIONAL RADAR CONFERENCE (RADAR2019), 2019, : 713 - 716
  • [33] Detection Performance of Radar Compressive Sensing in Noisy Environments
    Korde, Asmita
    Bradley, Damon
    Mohsenin, Tinoosh
    COMPRESSIVE SENSING II, 2013, 8717
  • [34] Compressive Sensing in Pulse Radar using Prior Information
    Assem, Assem M.
    Dansereau, Richard M.
    2016 4TH INTERNATIONAL WORKSHOP ON COMPRESSED SENSING THEORY AND ITS APPLICATIONS TO RADAR, SONAR AND REMOTE SENSING (COSERA), 2016, : 183 - 187
  • [35] Sparse passive radar imaging based on compressive sensing
    Xu H.
    Yin Z.-P.
    Liu C.-C.
    Wang D.-J.
    Chen W.-D.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2011, 33 (12): : 2623 - 2630
  • [36] Interferometric Radar Compressive Sensing Imaging with Direct Downsampling
    Zhang, Yunhua
    Dong, Xiao
    Zhai, Wenshuai
    Shi, Xiaojin
    Yang, Qingshan
    Li, Dong
    Kang, Xueyan
    2018 22ND INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON 2018), 2018, : 267 - 270
  • [37] Compressive sensing for through-the-wall radar imaging
    Amin, Moeness G.
    Ahmad, Fauzia
    JOURNAL OF ELECTRONIC IMAGING, 2013, 22 (03)
  • [38] Compressive Spectrum Sensing with Spectral Priors for Cognitive Radar
    Koochakzadeh, Ali
    Qiao, Heng
    Pal, Piya
    2016 4TH INTERNATIONAL WORKSHOP ON COMPRESSED SENSING THEORY AND ITS APPLICATIONS TO RADAR, SONAR AND REMOTE SENSING (COSERA), 2016, : 100 - 104
  • [39] Foreword to the Special Section on Compressive Sensing Applied to Radar
    Weiss, Matthias
    Ender, Joachim
    Rauhut, Holger
    Schirinzi, Gilda
    Strohmer, Thomas
    Willett, Peter
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (02) : 807 - 808
  • [40] Compressive Sensing Radar Imaging With Convolutional Neural Networks
    Cheng, Qiao
    Ihalage, Achintha Avin
    Liu, Yujie
    Hao, Yang
    IEEE ACCESS, 2020, 8 : 212917 - 212926
12345