DocumentCode :
3252483
Title :
MC-MIMO radar: Recoverability and performance bounds
Author :
Kalogerias, Dionysios S. ; Petropulu, Athina P.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New Jersey, NJ, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
153
Lastpage :
156
Abstract :
It was recently shown that low rank matrix completion theory can be employed for designing new sampling schemes in the context of MIMO radars, which can lead to the reduction of the high volume of data typically required for accurate target detection and estimation. This paper focuses on the performance of matrix completion in colocated MIMO radar systems equipped with Uniform Linear Arrays (ULAs). Exploiting the particular structure of the received data matrix, we present novel theoretical results showing that its coherence is both asymptotically and approximately optimal with respect to the number of antennas of the arrays involved and further, that the data matrix is recoverable using a subset of its entries with minimal cardinality.
Keywords :
MIMO radar; array signal processing; matrix algebra; radar signal processing; set theory; MC-MIMO radar; ULA; colocated MIMO radar systems; data matrix; low rank matrix completion theory; minimal cardinality; performance bounds; recoverability; uniform linear arrays; Antenna arrays; Antenna theory; Arrays; Coherence; MIMO radar; Object detection; Transmitting antennas; Array Processing; Colocated MIMO Radar; Matrix Completion; Strong Incoherence Property; Subspace Coherence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736838
Filename :
6736838
Link To Document :
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