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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159509
