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In this paper, we present a novel SAR (synthetic aperture radar) imaging algorithm based on compressed sensing (CS). We first obtain complex SAR images from raw SAR echoes, and then search all targets in complex-image domain by an improved MP (matching pursuit) algorithm. Unlike other CS-based imaging models, our algorithm has several advantages: 1) our algorithm is a two-dimensional (2-D) imaging system, rather than one-dimensional (1-D) imaging models introduced in most existing CS-based imaging algorithms; 2) unlike low efficiencies of most reconstruction algorithms, our method has an efficient reconstruction rate; 3) our imaging model applies existing SAR imaging systems, and inherits current SAR imaging results. The experimental results using real SAR echo data demonstrate the effectiveness of our algorithm.
Date of Conference: 22-27 July 2012