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MIMO SAR processing with azimuth nonuniform sampling

This paper analyses ambiguity suppression caused by multiple-input multiple-output (MIMO) SAR azimuth nonuniform samplings. Two methods are analyzed: azimuth spectrum reconstruction algorithm and minimum mean square error (MMSE) imaging algorithm. The azimuth spectrum reconstruction algorithm can re...

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Bibliographic Details
Main Authors: Yueguan Lin, Bingchen Zhang, Wen Hong, Yirong Wu, Yang Li
Format: Conference Proceeding
Language:English
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Summary:This paper analyses ambiguity suppression caused by multiple-input multiple-output (MIMO) SAR azimuth nonuniform samplings. Two methods are analyzed: azimuth spectrum reconstruction algorithm and minimum mean square error (MMSE) imaging algorithm. The azimuth spectrum reconstruction algorithm can reconstruct the scene fine resolution, while the nonideal orthogonality of multi-channel encoding waveforms causes azimuth ambiguous in SAR imaging. The MMSE imaging algorithm can perfectly reconstruct, while it requires high SNR.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2010.5653050