Paper Info
Title
Exploiting persymmetry for adaptive detection in distributed MIMO radar.
Abstract
We consider the adaptive detection problem in colored Gaussian noise with unknown persymmetric covariance matrix in a multiple-input-multiple-output (MIMO) radar with spatially dispersed antennas. To this end, a set of secondary data for each transmit-receive pair is assumed to be available. MIMO versions of the persymmetric generalized likelihood ratio test (MIMO-PGLRT) detector and the persymmetric sampler matrix inversion (MIMO-PSMI) detector are proposed. Compared to the MIMO-PGLRT detector, the MIMO-PSMI detector has a simple form and is computationally more efficient. Numerical examples are provided to demonstrate that the proposed two detection algorithms can significantly alleviate the requirement of the amount of secondary data, and allow for a noticeable improvement in detection performance.
Year
Venue
Keywords
2016
European Signal Processing Conference
Adaptive detection,multiple-input-multiple-output (MIMO) radar,persymmetry
Field
DocType
ISSN
Radar,3G MIMO,Likelihood-ratio test,Matrix (mathematics),Control theory,Inversion (meteorology),Computer science,MIMO,Algorithm,Covariance matrix,Detector
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jun Liu1446.06
Hongbin Li213711.40
Braham Himed368657.96