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2018 Volume 43 Issue 10
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FENG Jun-jie1,2, ZHANG Gong1. High Resolution ISAR Imaging Algorithm Based on Block Sparse Signal Recovery[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(10): 74-79. doi: 10.13718/j.cnki.xsxb.2018.10.014
Citation: FENG Jun-jie1,2, ZHANG Gong1. High Resolution ISAR Imaging Algorithm Based on Block Sparse Signal Recovery[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(10): 74-79. doi: 10.13718/j.cnki.xsxb.2018.10.014
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High Resolution ISAR Imaging Algorithm Based on Block Sparse Signal Recovery

  • 1. College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. School of Electrical engineering, Liupanshui Normal University, Liupanshui, Guizhou, 553004, China

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  • Received Date: 28/08/2017
  • To achieve fast high resolution inverse synthetic aperture radar (ISAR) imaging, a block sparse signal recovery ISAR imaging algorithm based on smoothed l0 norm is proposed by utilizing the block structure of the scatters. Firstly, the ISAR sparse imaging problem is mathematically converted into block l0 norm sparse optimization problem, one negative exponential function sequence approaches the block l0 norm. Then, a single loop structure is proposed to instead of the double loop layers in the smoothed l0 algorithm to solve the sparse signal recovery problem, the interval of controlling parameter decreases, the block sparse signal can be recovery precisely. The proposed method can be applied to ISAR imaging by exploiting the underlying block sparse structures, which doesn't need the information of the number of the blocks. Simulation and real data experiments verify that the quality of the ISAR image using the algorithm of this paper is higher and the speed is faster than other algorithms.
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High Resolution ISAR Imaging Algorithm Based on Block Sparse Signal Recovery

  • Received Date: 28/08/2017

Abstract: To achieve fast high resolution inverse synthetic aperture radar (ISAR) imaging, a block sparse signal recovery ISAR imaging algorithm based on smoothed l0 norm is proposed by utilizing the block structure of the scatters. Firstly, the ISAR sparse imaging problem is mathematically converted into block l0 norm sparse optimization problem, one negative exponential function sequence approaches the block l0 norm. Then, a single loop structure is proposed to instead of the double loop layers in the smoothed l0 algorithm to solve the sparse signal recovery problem, the interval of controlling parameter decreases, the block sparse signal can be recovery precisely. The proposed method can be applied to ISAR imaging by exploiting the underlying block sparse structures, which doesn't need the information of the number of the blocks. Simulation and real data experiments verify that the quality of the ISAR image using the algorithm of this paper is higher and the speed is faster than other algorithms.

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