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Wireless Personal Communications

Erschienen in:

17.09.2018

Optimization of Recursive Least Square-Based Adaptive Linear Equalizer for ZigBee Transceiver

verfasst von: Asmaa M. Romia, Hanaa S. Ali, M. I. Abdalla

Erschienen in: Wireless Personal Communications | Ausgabe 4/2018

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Abstract

An efficient technique to compensate for the channel detrimental effects in ZigBee systems is introduced in this paper. The proposed methodology relies on adding a recursive least square (RLS) based adaptive linear equalizer (ALE) to the physical layer of the receiver side. The performance of the RLS based ALE is investigated inside the ZigBee system under different multipath fading situations: Rician and Rayleigh. Moreover, the paper proposes a methodology for deciding the RLS based ALE’s design parameters. The design procedure depends on solving multiple objectives optimizing function based on genetic algorithms (GAs). The ALE’s parameters are chosen, such that the system experiences minimum bit error rate (BER) with fast convergence response. For design verification purposes, the ZigBee transceiver is modeled in MATLAB Simulink and tested under different fading and signal to noise ratios. In addition, the performance of the RLS adaptation algorithm is compared with the least mean square (LMS) one. The results show that the RLS based ALE provides better ZigBee performance with less BER and fast adaptation response.

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Titel: Optimization of Recursive Least Square-Based Adaptive Linear Equalizer for ZigBee Transceiver
verfasst von: Asmaa M. Romia
Hanaa S. Ali
M. I. Abdalla
Publikationsdatum: 17.09.2018
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 4/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-018-5961-5

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