Blind Bilinear Approach for Nonlinear-Based System Identification

Authors

  • Abdulmajid Lawal Interdisciplinary Research Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals , Saudi Arabia
  • Karim Abed-Meraim University of Orleans, PRISME Lab., France
  • Azzedine Zerguine Department of Electrical Engineering and the Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, Saudi Arabia
  • Ali Muqaibel Department of Electrical Engineering and the Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, Saudi Arabia

DOI:

https://doi.org/10.53907/enpesj.v5i1.307

Keywords:

Blind identification, Nonlinear SIMO channel, Bilinear

Abstract

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.

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Published

2024-07-30

Issue

Vol. 5 No. 1 (2025): ENP Engineering Science Journal

Section

Article

License

Copyright (c) 2024 ENP Engineering Science Journal

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