Maximum likelihood estimation of positive definite Hermitian Toeplitz matrices using outer approximations

In this paper, we consider the problem of finding the constrained maximum likelihood estimate of a covariance matrix, which is known to be positive definite and Hermitian Toeplitz. We propose a new approach based on the method of outer approximations. The proposed algorithm is demonstrated with an example.