DocumentCode
1758201
Title
Centralized Passive MIMO Radar Detection Without Direct-Path Reference Signals
Author
Hack, Daniel E. ; Patton, Lee K. ; Himed, Braham ; Saville, Michael A.
Author_Institution
Matrix Res., Dayton, OH, USA
Volume
62
Issue
11
fYear
2014
fDate
41791
Firstpage
3013
Lastpage
3023
Abstract
This work addresses the problem of target detection in passive multiple-input multiple-output (MIMO) radar networks without utilization of direct-path reference signals. A generalized likelihood ratio test for this problem is derived, and the distribution of the test statistic is identified under both hypotheses. Equivalence is established between passive MIMO radar networks without references and passive source localization networks. Numerical examples demonstrate important characteristics of the detector, namely, the asymmetric contributions to detection performance from transmitters and receivers, and non-coherent integration gain as a function of signal length. The ambiguity properties of this detector are also investigated, and it is shown that the salient ambiguities can be explained in terms of the time-difference of arrival, frequency-difference of arrival, and angle-of-arrival of the target signals.
Keywords
MIMO radar; object detection; passive radar; radar detection; radar receivers; radar transmitters; statistical testing; ambiguity properties; angle-of-arrival; asymmetric contributions; centralized passive MIMO radar detection; detection performance; direct-path reference signals; frequency-difference-of-arrival; generalized likelihood ratio test; noncoherent integration gain; passive multiple-input multiple-output radar networks; passive source localization networks; radar receivers; radar transmitters; salient ambiguities; signal length; target detection; target signals; test statistic; time-difference-of-arrival; Arrays; Detectors; MIMO; MIMO radar; Radio transmitters; Receivers; Passive radar; passive MIMO radar; passive multi static radar; passive source localization;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2014.2320462
Filename
6805222
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