TY - GEN
T1 - An adaptive detection algorithm with persymmetric covariance structure
AU - Cai, Lujing
AU - Wang, Hong
PY - 1991
Y1 - 1991
N2 - By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio (PGLR) algorithm is presented, together with the closed-form expressions of its probabilities of detection and false alarm. The algorithm, which has a faster convergence rate and requires less computation, can significantly outperform the corresponding unstructured GLR, especially in a severely nonstationary/nonhomogeneous interference environment. It also possesses a constant false-alarm rate feature of practical importance.
AB - By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio (PGLR) algorithm is presented, together with the closed-form expressions of its probabilities of detection and false alarm. The algorithm, which has a faster convergence rate and requires less computation, can significantly outperform the corresponding unstructured GLR, especially in a severely nonstationary/nonhomogeneous interference environment. It also possesses a constant false-alarm rate feature of practical importance.
UR - http://www.scopus.com/inward/record.url?scp=0026392940&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026392940&partnerID=8YFLogxK
U2 - 10.1109/icassp.1991.150236
DO - 10.1109/icassp.1991.150236
M3 - Conference contribution
AN - SCOPUS:0026392940
SN - 0780300033
T3 - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SP - 3545
EP - 3548
BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PB - IEEE Computer Society
T2 - Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
Y2 - 14 May 1991 through 17 May 1991
ER -