DocumentCode
3407368
Title
An imaging method for MIMO radar based on compressed sensing
Author
Lin, Yueguan ; Xiang, Yin ; Liu, Sanchao ; Wang, Wei ; Zhang, BingChen ; Hong, Wen ; Wu, YiRong
Author_Institution
Key Lab. of Disaster Reduction & Emergency Response Eng. of the Minist. of Civil Affairs, China
Volume
1
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
194
Lastpage
197
Abstract
Imaging algorithm based on compressed sensing (CS) is studied for multiple inputs and multiple outputs (MIMO) SAR using orthogonal code waveforms. It can reduce the sampling rate and improve reconstruction results compared with traditional SAR algorithms. Through modelling all the echoes of orthogonal signals, it can also reduce the range ambiguity caused be nonideal orthogonality of multiple transmitted signals.
Keywords
MIMO radar; image reconstruction; radar imaging; CS; MIMO SAR; compressed sensing; imaging method; multiple input multiple output synthetic aperture radar; orthogonal code waveforms; orthogonal signals; sampling rate reduction; Azimuth; Compressed sensing; Image reconstruction; Imaging; MIMO; Radar polarimetry; Transmitting antennas; Compressed Sensing; MIMO SAR; Range Ambiguity;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159509
Filename
6159509
Link To Document