DocumentCode :
3359162
Title :
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
Link To Document :
بازگشت