Synthetic Aperture Radar (SAR) is a 2-D imaging technique. In this technique, to reconstruct high resolution images, wide bandwidth transmission signal and short length antenna are required and leading large data storage, high speed A/D converter (ADC) and short swath. To improve these drawbacks, using a recent developed theory known as compressive sensing (CS), it is possible to reconstruct high resolution image using undersampled data. This paper presents a new reconstruction algorithm based on Nesterov’s algorithm. The simulation demonstrates promising results and indicates that the proposed algorithm has the advantage of high speed of convergence and accuracy.

Keywords: Synthetic aperture radar; compressive sensing; 1l minimization; Nesterov’s algorithm

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Reconstruction of compressive sensing-based SAR imaging using Nesterov’s algorithm

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Reconstruction of compressive sensing-based SAR imaging using Nesterov’s algorithm