摘要详情

ID / 提交时间

255 / 2020-01-04 12:56:00

标题

Toeplitz Structured Covariance Matrix Estimation for Radar Applications

关键字

主题及专题

IEEE SAM 2020: Full Regular Papers > Radar and sonar array processing

状态

全文录用

作者

Xiaolin Du / University of Electronic Science and Technology of China & Yantai University, China

Augusto Aubry / Universita degli studi di Napoli, Italy

Antonio De / University of Naples "Federico II", Italy

Guolong Cui / University of Electronic Science and Technology of China (UESTC), China

摘要

Following a geometric paradigm, the estimation of a Toeplitz structured covariance matrix is considered. The estimator minimizes the distance from the Sample Covariance Matrix (SCM) while complying with some specific constraints modeling the covariance structure. The resulting constrained optimization problem is solved globally resorting to the Dykstra' projection framework. Each step of the procedure involves the solution of two convex sub-problems, whose minimizers are available in closed form. Simulation results related to typical radar environments highlight the effectiveness of the devised method.