Title :
Compressed sensing for near range MIMO radar in multipath environment
Author :
Azodi, Hossein ; Siart, Uwe ; Eibert, Thomas F.
Author_Institution :
Inst. for High-Freq. Eng., Tech. Univ. Munchen, Munich, Germany
Abstract :
Compressed sensing is investigated for positioning and extracting Doppler information of moving point-like targets in a multipath environment. The configuration for this purpose includes a 4×4 MIMO radar system, a limited number of targets and two PEC walls in distances of about a few wavelengths from each other. Ray optics up to the first order is used to compute the received signal at each sensor.
Keywords :
Doppler shift; MIMO radar; compressed sensing; radar signal processing; Doppler information extraction; Doppler information positioning; PEC walls; compressed sensing; moving point-like targets; multipath environment; near range MIMO radar; ray optics; Compressed sensing; MIMO radar; Matching pursuit algorithms; Radar cross-sections; Sensors; Vectors;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
Print_ISBN :
978-1-4799-3538-3
DOI :
10.1109/APS.2014.6904574
