TY - JOUR
T1 - Knowledge-aided parametric adaptive matched filter with automatic combining for covariance estimation
AU - Wang, Pu
AU - Wang, Zhe
AU - Li, Hongbin
AU - Himed, Braham
PY - 2014/9/15
Y1 - 2014/9/15
N2 - In this paper, a knowledge-aided parametric adaptive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) and a priori knowledge of the spatial covariance matrix. Unlike existing KA-PAMF methods, the proposed KA-PAMF is able to automatically adjust the combining weight of a priori covariance matrix, thus gaining enhanced robustness against uncertainty in the prior knowledge. Meanwhile, the proposed KA-PAMF is significantly more efficient than its KA nonparametric counterparts when the amount of training signals is limited. One distinct feature of the proposed KA-PAMF is the inclusion of both the test and training signals for automatic determination of the combining weights for the prior spatial covariance matrix and observations. Numerical results are presented to demonstrate the effectiveness of the proposed KA-PAMF, especially in the limited training scenarios.
AB - In this paper, a knowledge-aided parametric adaptive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) and a priori knowledge of the spatial covariance matrix. Unlike existing KA-PAMF methods, the proposed KA-PAMF is able to automatically adjust the combining weight of a priori covariance matrix, thus gaining enhanced robustness against uncertainty in the prior knowledge. Meanwhile, the proposed KA-PAMF is significantly more efficient than its KA nonparametric counterparts when the amount of training signals is limited. One distinct feature of the proposed KA-PAMF is the inclusion of both the test and training signals for automatic determination of the combining weights for the prior spatial covariance matrix and observations. Numerical results are presented to demonstrate the effectiveness of the proposed KA-PAMF, especially in the limited training scenarios.
KW - Knowledge-aided processing
KW - multi-channel auto-regressive process
KW - parametric adaptive matched filter
KW - space-time adaptive processing (STAP)
UR - http://www.scopus.com/inward/record.url?scp=84906509654&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906509654&partnerID=8YFLogxK
U2 - 10.1109/TSP.2014.2338838
DO - 10.1109/TSP.2014.2338838
M3 - Article
AN - SCOPUS:84906509654
SN - 1053-587X
VL - 62
SP - 4713
EP - 4722
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 18
M1 - 6853408
ER -