MIMO SAR processing with azimuth nonuniform sampling

Author

Lin, Yueguan ; Zhang, BingChen ; Hong, Wen ; Wu, YiRong ; Li, Yang

Author_Institution

Nat. Key Lab. of Microwave Imaging Technol. (MITL), Beijing, China

fYear

2010

fDate

25-30 July 2010

Firstpage

4652

Lastpage

4655

Abstract

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.

Keywords

MIMO communication; MIMO radar; encoding; least mean squares methods; radar imaging; signal sampling; synthetic aperture radar; MIMO SAR processing; MMSE imaging; SAR azimuth nonuniform samplings; SAR imaging; ambiguity suppression; azimuth spectrum reconstruction; minimum mean square error; multichannel encoding waveforms; multiple-input multiple-output; nonideal orthogonality; Azimuth; Image reconstruction; Image resolution; Imaging; MIMO; Signal to noise ratio; Transmitting antennas; Azimuth spectrum reconstruction; MIMO SAR; MMSE imaging; Multi-channel encoding waveforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5653050

Filename

5653050