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Toeplitz Structured Covariance Matrix Estimation for Radar Applications | IEEE Journals & Magazine | IEEE Xplore

Toeplitz Structured Covariance Matrix Estimation for Radar Applications


Abstract:

Following a geometric paradigm, the estimation of a Toeplitz structured covariance matrix is considered. The estimator minimizes the distance from the Sample Covariance M...Show More

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.
Published in: IEEE Signal Processing Letters ( Volume: 27)
Page(s): 595 - 599
Date of Publication: 02 April 2020

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