Enhancement Cascaded Least Square of RLS and NLMS for Wireless Communication System

Orthogonal Frequency Division Multiplexing or known as OFDM has been a prominent digital communication scheme and was introduced in the 4G network. This technique can be described as an exceptional multicarrier instance where the signal data is transmitted using separate subcarriers through a total...

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Bibliographic Details
Published in:Journal of Advanced Research in Applied Sciences and Engineering Technology
Main Author: Sulong S.M.; Idris A.; Ali D.M.; Salih N.M.
Format: Article
Language:English
Published: Penerbit Akademia Baru 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175075179&doi=10.37934%2fARASET.32.2.222233&partnerID=40&md5=190576bd76e240dbc4cf7fb3467ef56c
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Summary:Orthogonal Frequency Division Multiplexing or known as OFDM has been a prominent digital communication scheme and was introduced in the 4G network. This technique can be described as an exceptional multicarrier instance where the signal data is transmitted using separate subcarriers through a total of the subcarriers at a lower rate. Although OFDM seems perfect for the development of 5G networks and upcoming 6G, this type of digital modulation still suffers from intersymbol interference (ISI). Enhancement Cascaded Least Square (ECLS) which is a sequence of adaptive algorithms has been proposed in this research to overcome ISI that occurs due to multipath propagation. ECLS is a combination of updated Recursive Least Square (URLS) and Normalized Least Mean Square (NLMS). URLS will reduce complexity while NLMS will overcome problem of convergence before being combined to become ECLS. The research outcome will be illustrated in Bit error rate (BER) to analyse lower interference and Mean Square Error (MSE) to analyse convergence. This research justified that ECLS can minimize the existence of interference in wireless communication systems. © 2023, Penerbit Akademia Baru. All rights reserved.
ISSN:24621943
DOI:10.37934/ARASET.32.2.222233