Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing

Wenfeng Chen; Long Xiang; Jun Yang; Xiaoyan Ma; Ning Ma

doi:10.1117/1.JRS.12.035013

27 August 2018 Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing

Wenfeng Chen, Long Xiang, Jun Yang, Xiaoyan Ma, Ning Ma

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 3, 035013 (August 2018). https://doi.org/10.1117/1.JRS.12.035013

Abstract

A matrix-formed iteratively reweighted complex approximate message passing (MIRCAMP) method is proposed for inverse synthetic aperture radar (ISAR) imaging with two-dimensional (2-D) cluster sparse structure. The main idea of the proposed method is extending the complex approximate message passing into matrix-form and utilizing the iteratively reweighted way to exploit the 2-D cluster sparse structure in the ISAR image. The improved reconstruction performance of the MIRCAMP contains two parts: one is enhancing 2-D cluster signal reconstruction performance through a coupling relation between the sparsity patterns of neighboring coefficients. The other is improving recovery efficiency through 2-D matrix-formed iteration to avoid the large memory and computational requirements. Experimental results show the superior reconstruction performance of the proposed MIRCAMP.

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Wenfeng Chen, Long Xiang, Jun Yang, Xiaoyan Ma, and Ning Ma "Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing," Journal of Applied Remote Sensing 12(3), 035013 (27 August 2018). https://doi.org/10.1117/1.JRS.12.035013

Received: 15 January 2018; Accepted: 3 August 2018; Published: 27 August 2018

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