Signal and Image processing

Efficient Estimation of Scatter Matrix with Convex Structure under t-Distribution

Publié le - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)

Auteurs : Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster

This paper addresses structured covariance matrix estimation under t-distribution. Covariance matrices frequently reveal a particular structure due to the considered application and taking into account this structure usually improves estimation accuracy. In the framework of robust estimation, the t-distribution is particularly suited to describe heavy-tailed observation. In this context, we propose an efficient estimation procedure for covariance matrices with convex structure under t-distribution. Numerical examples for Hermitian Toeplitz structure corroborate the theoretical analysis.