Toeplitz Structured Covariance Matrix Estimation for Radar Applications
ID:43 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:421 Oral Presentation

Start Time:2020-06-09 14:30(Asia/Shanghai)

Duration:15min

Session:R Regular Session » R03Radar Signal Processing

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Abstract
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.
Keywords
Speaker
Xiaolin Du
University of Electronic Science and Technology of China & Yantai University, China

Submission Author
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
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    2020

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    Jun 11

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  • Jan 12 2020

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