Simo Blind System Identification and Order Determination

In most of the existing methods for the blind identification of single input multiple output (SIMO) systems, such as the subspace (SS) and least squares (LS), the highest order of the unknown channels is assumed to be known or is overestimated. In this paper we propose a new method based on the modified Levinson algorithm which makes no such assumption. This method gives us the exact orders of each of the unknown channels as long as at least one FIR channel is invertible. This algorithm when compared to the existing methods is robust, accurate and computationally simple. This method also exhibits better performance under noisy environments