Subspace-Based Method for Multiple-Target Localization Using MIMO Radars

The concept of multiple-input-multiple-output (MIMO) radar is recently proposed inspired by recent advances in MIMO communications. The subspace-based method for multiple-target localization is proposed in this paper. It is shown that the "effective source" covariance matrix is almost alwa...

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Bibliographic Details
Published in2007 IEEE International Symposium on Signal Processing and Information Technology pp. 715 - 720
Main Authors Wei Xia, Zishu He, Yuyu Liao
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2007
Subjects
Covariance matrix
CRB
direction finding
Linear antenna arrays
MIMO
MIMO radars
Multiple signal classification
multiple-target localization
MUSIC
Phased arrays
Radar antennas
Radar signal processing
Receiving antennas
Signal processing algorithms
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ISBN9781424418343
1424418348
ISSN2162-7843
DOI10.1109/ISSPIT.2007.4458155

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Summary:The concept of multiple-input-multiple-output (MIMO) radar is recently proposed inspired by recent advances in MIMO communications. The subspace-based method for multiple-target localization is proposed in this paper. It is shown that the "effective source" covariance matrix is almost always nonsingular under mild conditions in the MIMO radar configuration. The performance of the proposed method is validated by numerical simulations.
ISBN:9781424418343
1424418348
ISSN:2162-7843
DOI:10.1109/ISSPIT.2007.4458155