基于马尔科夫链的单站SAR海面场景宽幅高分成像算法

doi:10.7527/S1000-6893.2016.0084

Abstract

Abstract:

This paper focuses on the problem of solving high resolution wide swath (HRWS) SAR imaging of sea surface using mono-static SAR and proposes a compressed sensing imaging method based on Markov chain. This method is inspired by the fact that target of sea surface usually owns a sparse distribution. Firstly, the wide swath sea scene is divided into several sub scenes. Secondly, a few pulses were used to generate a range profile, and the range profile is used to obtain the target number in each sub scenes. After that the radar scanning probability can be calculated using the target number. The radar then scan each sub scene based on the scanning probability. Thirdly, an improved compressed sensing algorithm is utilized to reconstruct each sub scenes; the whole wide swath image is united by putting all the sub scenes together. The proposed method can get a wide swath image without reducing the resolution of the radar. Finally, the effectiveness of the proposed method is proved by the simulation results.

Key words: SAR imaging, compressed sensing, range profile, Markov chain, Iterative thresholding algorithm

CLC Number:

V243.2
TN957

NI Jiacheng, ZHANG Qun, GU Fufei, SUN Li, HUO Wenjun. Mono-static SAR HRWS imaging algorithm of sea surface based on Markov chain[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(12): 3793-3802.

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Mono-static SAR HRWS imaging algorithm of sea surface based on Markov chain

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