TY - GEN
T1 - Knowledge-aided parametric adaptive matched filter with automatic combining for covariance estimation
AU - Wang, Pu
AU - Li, Hongbin
AU - Wang, Zhe
AU - Himed, Braham
PY - 2014
Y1 - 2014
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 co-variance 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 non-parametric 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 co-variance 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 non-parametric 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 - STAP
KW - parametric adaptive matched filter
UR - http://www.scopus.com/inward/record.url?scp=84905280946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905280946&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6854769
DO - 10.1109/ICASSP.2014.6854769
M3 - Conference contribution
AN - SCOPUS:84905280946
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6067
EP - 6071
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -