On the estimation of signals transmitted in multichannel from Chandrasekhar recursions

Abstract

In this paper, we propose a fast Chandrasekhar-type algorithm to solve the least mean-squared error linear filtering problem of a wide-sense stationary signal, transmitted through different channels, considering uncertainty in the observations. We assume that the state-space model of the signal is not available and the algorithm is derived by using covariance information. The computational advantages of the proposed algorithm are illustrated in a numerical example.