Blind Bilinear Approach for Nonlinear-Based System Identification

Résumé

In this paper, we develop an efficient nonlinear channel identification method for single input multiple output finite impulse response (FIR) channels. The developed algorithm utilizes the structure embedded in the columns and rows subspaces of the received signal matrix. Both the Toeplitz structure available in the signal matrix and the block Sylvester structure present in the channel matrix is used to develop a criterion that can be minimized to establish the optimal solution of the channel estimates. With nonlinearity in the system, the proposed bilinear nonlinear approach produces some extremely intriguing channel estimation finding.

Mots-clés

Auteurs

1. 1Interdisciplinary Research Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals , Saudi Arabia
2. 2University of Orleans, PRISME Lab., France
3. 3Department of Electrical Engineering and the Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, Saudi Arabia