Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Compressed Sensing Imaging for Staggered SAR with Low Oversampling Rate

Version 1 : Received: 10 October 2020 / Approved: 21 October 2020 / Online: 21 October 2020 (16:41:58 CEST)
(This article belongs to the Research Topic EUSAR 2020—Preprints)

How to cite: Liao, X.; Jin, C.; Liu, Z. Compressed Sensing Imaging for Staggered SAR with Low Oversampling Rate. Preprints 2020, 2020100444 (doi: 10.20944/preprints202010.0444.v1). Liao, X.; Jin, C.; Liu, Z. Compressed Sensing Imaging for Staggered SAR with Low Oversampling Rate. Preprints 2020, 2020100444 (doi: 10.20944/preprints202010.0444.v1).

Abstract

This paper focuses on processing low oversampling echo data of staggered synthetic aperture radar (SAR). In staggered mode, the non-uniformly sampling and irregular loss of echo data cause azimuth ambiguity which severely degrades the imaging quality. To solve this problem, we propose a compressed sensing (CS) method in which the non-uniform fast Fourier transform (NUFFT) technique is adopted to obtain uniform azimuth spectrum, and the fast iterative shrinkage thresholding algorithm (FISTA) is utilized to efficiently reconstruct the ambiguity-free image from in-complete echo data. Simulation results demonstrate the proposed method can effectively suppress the azimuth ambiguity in the vicinity of targets.

Subject Areas

staggered SAR; low oversampling; compressed sensing (CS); NUFFT

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