DOI: 10.3724/SP.J.1300.2012.20033

Journal of Radars (雷达学报) 2012/1:3 PP.292-300

ISAR Sparse Aperture Imaging Algorithm for Large Size Target

A novel algorithm for larger size target imaging in sparse aperture is presented in this paper for Inverse Synthetic Aperture Radar (ISAR). In the proposed method, azimuth compressing is done in the range frequency domain to avoid Migration Through Range Cell (MTRC), and Compress Sensing (CS) is introduced to take place of FFT to reduce the Peak Side Lobe Ratio (PSLR), meanwhile a basis matrix changing with the range frequency is constructed to eliminate the coupling between range frequency and azimuth time. Simulation results validate the feasibility of the approach.

Key words:Migration Through Range Cell (MTRC),Peak Side Lobe Ratio (PSLR),Compress Sensing (CS),Sparse aperture,Inverse Synthetic Aperture Radar (ISAR)

ReleaseDate:2014-07-21 16:23:52

[1] Bennani Y, Comblet F, and Khenchaf A. RCS of complex targets: original representation validated by measurements—application to ISAR imagery[J]. IEEE Transactions on Geoscience and Remote Sensing. http://

[2] Paladini R, Martorella M, and Berizzi F. Classification of man-made targets via invariant coherency- matrix eigenvector decomposition of polarimetric SAR/ ISAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 3022-3034.

[3] Li H J, Farhat N H, and Shen Y S. A new iterative algorithm for extrapolation of data available in multiple restricted regions with applications to radar imaging[J]. IEEE Transactions on Antennas and Propagation, 1987, 35(5): 581-588.

[4] 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.

[5] 保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005: 241-254. Bao Zhen, Xing Meng-dao, and Wang Tong. Radar Imaging Technology[M]. Beijing, Publishing House of Electronics Industry. 2005: 241-254.

[6] Candes E J and Wakin M. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.

[7] Ender J H G. On compressive sensing applied to radar[J]. Signal Processing, 2010, 90(5): 1402-1414.

[8] Candes E J, Romberg J, and Tao T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on Pure and Applied Mathematics, 2006, 59(8): 1207-1223.

[9] Candes E J. The restricted isometry property and its implications for compressed sensing[J]. Comptes Rendus Mathematique, 2008, 346(9): 589-592.

[10] 张龙, 张磊, 邢孟道.一种基于改进压缩感知的低信噪比ISAR高分辨成像方法[J]. 电子与信息学报, 2010, 32(9): 2263-2267. Zhang Long, Zhang Lei, and Xing Meng-dao. A new method of high resolution ISAR imaging under low SNR based on improved compressive sensing[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2263-2267.

[11] Yaakov Tsaig. SolveOMP. Sparselab200/Solvers/SolveOMP, 2007.3.