WSEAS Transactions on Communications

Print ISSN: 1109-2742
E-ISSN: 2224-2864

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Blind Channel Estimation Using Wavelet Denoising of Independent Component Analysis for LTE System

AUTHORS: Gamal Mabrouk Abdel-Hamid, Reham S. Saad

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ABSTRACT: A new blind channel estimation method for long term evaluation (LTE) based on combining advantages of denoising property of wavelet transform (WT) with blind estimation capability of independent component analysis (ICA) called wavelet denoising of ICA (WD-ICA) is presented. This new method increases the spectral efficiency compared to training based methods, and provides considerable performance enhancement over conventional ICA methods. The conventional blind channel estimation methods based on ICA is performed individually for each orthogonal frequency division multiplexing (OFDM) subcarrier. To reduce complexity of implementation of WD-ICA method, channel interpolation is used. This method is presented for multiple-input-multiple-output (MIMO) downlink LTE system. WD-ICA method is compared to conventional ICA methods and the Performance is evaluated by calculating normalized mean square error (NMSE) and bit error rate (BER). WD-ICA method as compared to the other known ICA channel estimation methods has lower complexity, lower value of NMSE, and lower value of BER, which indicates the superiority of the proposed method.

KEYWORDS: -LTE, Blind channel estimation, WT, ICA, OFDM, MIMO


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WSEAS Transactions on Communications, ISSN / E-ISSN: 1109-2742 / 2224-2864, Volume 16, 2017, Art. #42, pp. 370-379

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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