Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5399
Title: A Modified RC-pLMS Adaptive Beamformer for Secure Digital Communication
Authors: Akkad, Ghattas
Mansour, Ali
Elhassan, Bachar
Inaty, Elie 
Affiliations: Department of Computer Engineering 
Keywords: Adaptive filtering
Beamforming
Digital communications
LMS
RC-pLMS
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers
Part of: 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)
Conference: International Multidisciplinary Conference on Engineering Technology (IMCET) ( 3rd : 8-10 Dec, 2021 : Beirout, Lebanon )
Abstract: 
A modified reduced complexity parallel least mean square (mRC-pLMS) adaptive beamforming algorithm for high precision directivity and secure data communication is proposed in this paper. A high performance RC-pLMS algorithm has been proposed, recently, to eliminate the tradeoff between the LMS steady state error and its convergence speed while maintaining a low computational complexity structure. RC-pLMS is obtained by simplifying the two stages parallel LMS (pLMS) and adding a filter to the inputs, thus eliminating the need of an additional LMS filter. To further improve the RC-pLMS convergence speed and accuracy for fast and secure data communication we propose a modified RC-pLMS algorithm. mRC-pLMS is obtained by updating the RC-pLMS weight update equation to make use of the filtered input signal rather than the original input. Numerical simulations reflected by the mean square error convergence behavior and beam pattern, demonstrate the superior performance of the mRC-pLMS in providing faster convergence, lower steady state error and better interference attenuation while maintaining identical RC-pLMS resource requirements.
URI: https://scholarhub.balamand.edu.lb/handle/uob/5399
ISBN: 9781665405874
DOI: 10.1109/IMCET53404.2021.9665588
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

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