Title :
Compressed sensing for MIMO radar - algorithms and performance
Author :
Strohmer, Thomas ; Friedlander, Benjamin
Author_Institution :
Dept. Math., UC Davis, Davis, CA, USA
Abstract :
Compressed sensing techniques make it possible to exploit the sparseness of radar scenes to potentially improve system performance. In this paper compressed sensing tools are applied to MIMO radar to reconstruct the scene in the azimuth-range-Doppler domain. Conditions are derived for the radar waveforms and the transmit and receive arrays so that the radar sensing matrix has small coherence and sparse recovery becomes possible. Theoretical performance bounds are presented and validated by numerical simulations.
Keywords :
Doppler radar; MIMO radar; array signal processing; coherence; radar signal processing; waveform analysis; MIMO radar; azimuth-range-Doppler domain; coherence; compressed sensing; numerical simulation; radar scene sparseness; radar sensing matrix; radar waveform; receive array; scene reconstruction; sparse recovery; system performance; transmit array; Coherence; Compressed sensing; Layout; MIMO; Radar antennas; Radar applications; Radar signal processing; Radar theory; Receiving antennas; Sparse matrices;
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-5825-7
DOI :
10.1109/ACSSC.2009.5469862
