Blind Bilinear Approach for Nonlinear-Based System Identification

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...

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Bibliographic Details
Published inENP engineering science journal (En ligne) Vol. 5; no. 1; pp. 1 - 6
Main Authors Lawal, Abdulmajid, Abed-Meraim, Karim, Zerguine, Azzedine, Muqaibel, Ali
Format Journal Article
LanguageEnglish
Published Ecole Nationale Polytechnique 30.07.2024
Subjects
bilinear
blind identification
nonlinear simo channel
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ISSN2716-912X
2773-4293
DOI10.53907/enpesj.v5i1.307

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Summary: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.
ISSN:2716-912X
2773-4293
DOI:10.53907/enpesj.v5i1.307