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A New Way of Suppressing ISAR Imaging Sidelobe Based on Compressed Sensing
Received date: 2010-04-06
Online published: 2025-05-30
The technology of pulse compression, which always causes sidelobe, is widely used in radar system. In order to suppress target sidelobe availably and improve the imaging quality, a new method of ISAR imaging based on compressed sensing (CS) was proposed in this paper. In the method, we should firstly multiply the returned signal by conjugate of reference signal, construct a reasonable Fourier sparse basis matrix to realize the sparseness of radar data. Next, the spectrogram information was recovered by using the orthogonal matching pursuit algorithm (OMP), and the ISAR image whose sidelobe was suppressed successfully was got. Finally, the results with simulation data validated the feasibility and superiority of the approach.
Key words: compressed sensing; OMP; ISAR; sidelobe suppression; Fourier basis matrix
LEI Qiang , LI Hongwei , ZHANG Qun , ZHU Feng , YANG Xiaoyou . A New Way of Suppressing ISAR Imaging Sidelobe Based on Compressed Sensing[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(1) : 143 -146,150 . DOI: 10.15892/j.cnki.djzdxb.2011.01.009
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