TY - JOUR
T1 - A Bayesian parametric test for multichannel adaptive signal detection in nonhomogeneous environments
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2010
Y1 - 2010
N2 - This paper considers the problem of knowledge-aided space-time adaptive processing (STAP) in nonhomogeneous environments, where the covariance matrices of the training and test signals are assumed random and different from each other. A Bayesian detector is proposed by incorporating some a priori knowledge of the disturbance covariance matrices, and exploring their inherent block-Toeplitz structure. Specifically, the block-Toeplitz structure of the covariance matrix allows us to model the training signals as a multichannel auto-regressive (AR) process. The resulting detector is referred to as the Bayesian parametric adaptive matched filter (B-PAMF) which, compared with nonparametric Bayesian detectors, entails a lower training requirement and alleviates the computational complexity. Numerical results show that the proposed B-PAMF detector outperforms the standard PAMF test in nonhomogeneous environments.
AB - This paper considers the problem of knowledge-aided space-time adaptive processing (STAP) in nonhomogeneous environments, where the covariance matrices of the training and test signals are assumed random and different from each other. A Bayesian detector is proposed by incorporating some a priori knowledge of the disturbance covariance matrices, and exploring their inherent block-Toeplitz structure. Specifically, the block-Toeplitz structure of the covariance matrix allows us to model the training signals as a multichannel auto-regressive (AR) process. The resulting detector is referred to as the Bayesian parametric adaptive matched filter (B-PAMF) which, compared with nonparametric Bayesian detectors, entails a lower training requirement and alleviates the computational complexity. Numerical results show that the proposed B-PAMF detector outperforms the standard PAMF test in nonhomogeneous environments.
KW - Bayesian detection
KW - Nonhomogeneous environments
KW - Parametric adaptive matched filter
KW - Space-time adaptive signal processing
UR - http://www.scopus.com/inward/record.url?scp=77249121099&partnerID=8YFLogxK
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U2 - 10.1109/LSP.2009.2039380
DO - 10.1109/LSP.2009.2039380
M3 - Article
AN - SCOPUS:77249121099
SN - 1070-9908
VL - 17
SP - 351
EP - 354
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 4
M1 - 5371946
ER -