DocumentCode
153825
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
fYear
2014
fDate
6-8 Oct. 2014
Firstpage
777
Lastpage
782
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location
Baltimore, MD
Type
conf
DOI
10.1109/MILCOM.2014.135
Filename
6956856
Link To Document