DocumentCode
246420
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
fYear
2014
fDate
6-11 July 2014
Firstpage
486
Lastpage
487
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location
Memphis, TN
ISSN
1522-3965
Print_ISBN
978-1-4799-3538-3
Type
conf
DOI
10.1109/APS.2014.6904574
Filename
6904574
Link To Document