Electronics Optics & Control, Volume. 32, Issue 7, 46(2025)

A Review of Sparse-Aperture ISAR Imaging Methods

TAO Zifan, YANG Jun, CHEN Xinping, and LI Yonggang
Author Affiliations
  • Space Engineering University,Beijing 101000,China
  • show less
    References(39)

    [2] [2] CHEN V C,MARTORELLA M. Inverse synthetic aperture radar imaging: principles,algorithms and applications[M]. Edison: SciTech Publishing Inc.,2014: 103-115.

    [3] [3] CUI X C,FU Y W,SU Y,et al. Space target attitude estimation based on projection matrix and linear structure[J]. IEEE Signal Processing Letters,2023,30: 918-922.

    [6] [6] ZHANG L,XING M D,QIU C W,et al. Achieving higher resolution ISAR imaging with limited pulses via compressed sampling[J]. IEEE Geoscience and Remote Sensing Letters,2009,6(3): 567-571.

    [7] [7] MARQUES E C,MACIEL N,NAVINER L,et al. A review of sparse recovery algorithms[J]. IEEE Access,2019,7(1): 1300-1322.

    [8] [8] HU C Y,WANG L,LI Z,et al. Inverse synthetic aperture radar imaging using a fully convolutional neural network[J]. IEEE Geoscience and Remote Sensing Letters,2019,17(7): 1203-1207.

    [9] [9] HU C Y,WANG L,ZHU D Y,et al. FCNN-based ISAR sparse imaging exploiting gate units and transfer learning[J]. IEEE Geoscience and Remote Sensing Letters,2021,19: 1-5.

    [10] [10] HERSHEY J R,ROUX J L,WENINGER F. Deep unfolding: model-based inspiration of novel deep architectures[R]. Los Alamos: arXiv Preprint,2014: arXiv: 1409.2574.

    [11] [11] HU C Y,LI Z,WANG L,et al. Inverse synthetic aperture radar imaging using a deep ADMM network[C]//2019 20th International Radar Symposium (IRS). Ulm: IEEE,2019: 1-9.

    [12] [12] BOYD S,PARIKH N,CHU E,et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends® in Machine Learning,2011,3(1): 1-122.

    [13] [13] WEI S J,LIANG J D,WANG M,et al. CIST: an improved ISAR imaging method using convolution neural network[J]. Remote Sensing,2020,12(16): 2641.

    [14] [14] LI R Z,ZHANG S H,ZHANG C,et al. A computational efficient 2-D block-sparse ISAR imaging method based on PCSBL-GAMP-Net[J]. IEEE Transactions on Geoscience and Remote Sensing,2021,60: 1-14.

    [17] [17] TROPP J A. A mathematical introduction to compressive sensing book review[J]. Bulletin of the American Mathematical Society,2017,54(1): 151-165.

    [18] [18] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory,2006,52(4): 1289-1306.

    [19] [19] CHEN S S,DONOHO D L,SAUNDERS M A. Atomic decomposition by basis pursuit[J]. SIAM Journal on Scientific Computing,2001,43(1): 129-159.

    [23] [23] EFRON B,HASTIE T,JOHNSTONE I,et al. Least angle regression[J]. Annals of Statistics,2004,1(4): 251-259.

    [24] [24] WIPF D P,RAO B D. Sparse Bayesian learning for basis selection[J]. IEEE Transactions on Signal Processing,2004,52(8): 2153-2164.

    [25] [25] FIGUEIREDO M A T. Adaptive sparseness using Jeffreys prior[C]//Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic. Cambridge: MIT Press,2001: 697-704.

    [26] [26] TIBSHIRANI R. Regression shrinkage and selection via the lasso[J]. Journal of the Royal Statistical Society Series B: Statistical Methodology,1996,58(1): 267-288.

    [28] [28] JI S,DUNSON D,CARIN L. Multitask compressive sensing[J]. IEEE Transactions on Signal Processing,2008,57(1): 92-106.

    [29] [29] GORODNITSKY I F,RAO B D. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm[J]. IEEE Transactions on Signal Processing,1997,45(3): 600-616.

    [31] [31] HE Z S,CICHOCKI A,ZDUNEK R,et al. Improved FOCUSS method with conjugate gradient iterations[J]. IEEE Transactions on Signal Processing,2008,57(1): 399-404.

    [32] [32] MALLAT S G,ZHANG Z F. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing,1993,41(12): 3397-3415.

    [33] [33] TROPP J A,GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory,2007,53(12): 4655-4666.

    [36] [36] NEEDELL D,TROPP J A. CoSaMP: iterative signal recovery from incomplete and inaccurate samples[J]. Applied and Computational Harmonic Analysis,2009,26(3): 301-321.

    [38] [38] DO T T,GAN L,NGUYEN N,et al. Sparsity adaptive matching pursuit algorithm for practical compressed sensing[C]//2008 42nd Asilomar Conference on Signals,Systems and Computers. Pacific Grove: IEEE,2008: 581-587.

    [39] [39] DAI W,MILENKOVIC O. Subspace pursuit for compressive sensing signal reconstruction[J]. IEEE Transactions on Information Theory,2009,55(5): 2230-2249.

    [42] [42] DONOHO D L,TSAIG Y,DRORI I,et al. Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit[J]. IEEE Transactions on Information Theory,2012,58(2): 1094-1121.

    [45] [45] BLUMENSATH T,DAVIES M E. Gradient pursuits[J]. IEEE Transactions on Signal Processing,2008,56(6): 2370-2382.

    [47] [47] GAO J K,DENG B,QIN Y L,et al. Enhanced radar imaging using a complex-valued convolutional neural network[J]. IEEE Geoscience and Remote Sensing Letters,2019,16(1): 35-39.

    [49] [49] WANG L,LOFFELD O. ISAR imaging using a null space l1 minimizing Kalman filter approach[C]//2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar,Sonar and Remote Sensing (CoSeRa). Aachen: IEEE,2016: 232-236.

    [50] [50] HU C Y,WANG L,LOFFELD O. Inverse synthetic aperture radar imaging exploiting dictionary learning[C]//2018 IEEE Radar Conference (RadarConf18). Oklahoma City: IEEE,2018: 1084-1088.

    [51] [51] WANG L,LOFFELD O,MA K L,et al. Sparse ISAR imaging using a greedy Kalman filtering approach[J]. Signal Processing,2017,138(C): 1-10.

    [52] [52] LI R Z,ZHANG S H,ZHANG C,et al. Deep learning approach for sparse aperture ISAR imaging and autofocusing based on complex-valued ADMM-Net[J]. IEEE Sensors Journal,2020,21(3): 3437-3451.

    [53] [53] XIAO C C,GAO X Z,ZHANG C. U-ADMMNet: a mdel-based deep learning method for sparse aperture ISAR imaging[C]//2021 14th International Congress on Image and Signal Processing,BioMedical Engineering and Informatics(CISP-BMEI). Shanghai: IEEE,2021: 1-7.

    [54] [54] WEI S J,LIANG J D,WANG M,et al. AF-AMPNet: a deep learning approach for sparse aperture ISAR imaging and autofocusing[J]. IEEE Transactions on Geoscience and Remote Sensing,2021,60: 1-14.

    [55] [55] WANG J Y,LI S Y,CHENG D,et al. CVAE: an efficient and flexible approach for sparse aperture ISAR imaging[J]. IEEE Geoscience and Remote Sensing Letters,2023,20: 4000805.

    [56] [56] FANG J,SHEN Y N,LI H B,et al. Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals[J]. IEEE Transactions on Signal Processing,2014,63(2): 360-372.

    [57] [57] QIU W,GIUSTI E,BACCI A,et al. Compressive sensing-based algorithm for passive bistatic ISAR with DVB-T signals[J]. IEEE Transactions on Aerospace and Electronic Systems,2015,51(3): 2166-2180.

    [58] [58] LI H Z,XU J L,SONG H X,et al. PIN: sparse aperture ISAR imaging via self-supervised learning[J]. IEEE Geoscience and Remote Sensing Letters,2024,21: 3502905.

    Tools

    Get Citation

    Copy Citation Text

    TAO Zifan, YANG Jun, CHEN Xinping, LI Yonggang. A Review of Sparse-Aperture ISAR Imaging Methods[J]. Electronics Optics & Control, 2025, 32(7): 46

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 20, 2024

    Accepted: Jul. 11, 2025

    Published Online: Jul. 11, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.07.008

    Topics