Title :
Multiple Extended Target Detection Using MIMO Radar and Compressed Sensing
Author :
Daniel, Andy ; Popescu, Dimitrie C.
Author_Institution :
ECE Dept., Old Dominion Univ., Norfolk, VA, USA
Abstract :
The paper studies radar waveform and receiver filter design for the detection of multiple extended targets using a compressed sensing approach. A multiple-input multiple output (MIMO) radar system is considered and threshold based detection is used to indicate the presence or absence of each target sought in the presence of noise. The detection performance is illustrated with numerical results obtained from simulations, which compare mean square estimation/reconstruction error values as well as detection and false alarm rates to those achieved using statically defined waveforms and receiver filters typically used in a compressed sensing context. Results indicate that the MIMO radar waveforms and receiver filters implied by the proposed method have improved scene reconstruction and target detection performance.
Keywords :
MIMO radar; compressed sensing; mean square error methods; object detection; radar detection; MIMO radar; compressed sensing; false alarm rates; mean square error estimation; multiple extended targets detection; multiple-input multiple-output; noise presence; radar waveform; receiver filter design; Algorithm design and analysis; Compressed sensing; Noise; Radar; Receivers; Sparse matrices; Vectors; MIMO Radar; compressed sensing; detection; extended targets; waveform design;
Conference_Titel :
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location :
Baltimore, MD
DOI :
10.1109/MILCOM.2014.135