• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(6): 604-607 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.236

Comparative Analysis of SSRLS and SSRLS with Adaptive Memory for Wireless Channel Equalization

Muhammad Zeeshan and Ihsan Ullah
Abstract—Wireless radio channels cause severe distortion in the signals. These distortions can be reduced by using different channel equalization techniques. In this paper, we compare the equalization performance of state-space recursive least squares (SSRLS) and state-space recursive least squares with adaptive memory (SSRLSWAM) to offset the effect of a linear dispersive channel. These adaptive filters are well-suited for the estimation of deterministic signals corrupted by the observation noise. We consider the equalization of both the linear time invariant and linear time varying systems to compare the performance of these filters. The performance is affected by the observation noise variance, choice of the forgetting factor and the model mismatch. We present simulation results to compare these cases by tracking a deterministic signal. It has been shown that SSRLSWAM outperforms SSRLS in both the time invariant and time varying channels.

Index Terms—SSRLS, SSRLSWAM, adaptive channel equalization, tracking, radio channels

Muhammad Zeeshan is with the Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Pakistan (e-mail: ranazeeshan@ceme.nust.edu.pk).
Ihsan Ullah is with the Department of Electrical Engineering, Hanyang University, South Korea (e-mail: engr.ihsan@hotmail.com).


Cite:Muhammad Zeeshan and Ihsan Ullah, "Comparative Analysis of SSRLS and SSRLS with Adaptive Memory for Wireless Channel Equalization," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 604-607, 2013.

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