IEEE Access | |
Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing | |
Songtao Lu1  Yu Zhao2  Jinping Sun2  Peng Lei2  Shaohua Wan3  | |
[1] Department of Electrical and Computer Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA;School of Electronic and Information Engineering, Beihang University, Beijing, China;School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China; | |
关键词: Space-time adaptive processing; knowledge-aided; persymmetric; general linear combination; convex combination; adaptive signal detection; | |
DOI : 10.1109/ACCESS.2018.2879726 | |
来源: DOAJ |
【 摘 要 】
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points. Incorporating
【 授权许可】
Unknown