TY - GEN
T1 - Knowledge-aided parametric GLRT for space-time adaptive processing
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2010
Y1 - 2010
N2 - In this paper, we consider knowledge-aided space-time adaptive processing (KA-STAP) with a parametric approach, where disturbances in both test and training signals are modeled as a multichannel auto-regressive (AR) model. The a priori knowledge is incorporated into the detection problem through a stochastic signal model, where the spatial covariance matrix of the disturbance is assumed random. According to this model, a Bayesian version of the parametric generalized likelihood ratio test (PGLRT) is developed in a two-step approach, which is referred to as the KA-PGLRT. Interestingly, the KA-PGLRT employs a colored loading approach for estimation of the spatial covariance matrix of the test signal. Simulation results show that the KA-PGLRT can obtain better detection performance over other parametric detectors.
AB - In this paper, we consider knowledge-aided space-time adaptive processing (KA-STAP) with a parametric approach, where disturbances in both test and training signals are modeled as a multichannel auto-regressive (AR) model. The a priori knowledge is incorporated into the detection problem through a stochastic signal model, where the spatial covariance matrix of the disturbance is assumed random. According to this model, a Bayesian version of the parametric generalized likelihood ratio test (PGLRT) is developed in a two-step approach, which is referred to as the KA-PGLRT. Interestingly, the KA-PGLRT employs a colored loading approach for estimation of the spatial covariance matrix of the test signal. Simulation results show that the KA-PGLRT can obtain better detection performance over other parametric detectors.
UR - http://www.scopus.com/inward/record.url?scp=79957979085&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957979085&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757887
DO - 10.1109/ACSSC.2010.5757887
M3 - Conference contribution
AN - SCOPUS:79957979085
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1981
EP - 1985
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -