OFDM channel prediction using fuzzy update LMS algorithm in time-variant mobile channel

Jyh Horng Wen*, Cheih Yao Chang, Gwo Ruey Lee, Ching-Yao Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Channel predictor implemented by discrete Fourier transform (DFT) is considered, which predict the channel gain of each receiving path by adaptive filters. A fuzzy logic controlled step size could overcome the drawback of conventional least-mean-square error (LMS) algorithm. In this paper, LMS algorithm with fuzzy updated step size is proposed to realize the adaptive channel prediction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results show that as compared to conventional LMS algorithm, the proposed algorithm can achieve a faster convergence rate and lower steady-state mean square error. The proposed algorithm can also achieve more robust tracking ability in the various channel environments.

Original languageEnglish
Title of host publication2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
Pages1943-1947
Number of pages5
DOIs
StatePublished - 1 Dec 2006
Event2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall - Montreal, QC, Canada
Duration: 25 Sep 200628 Sep 2006

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
CountryCanada
CityMontreal, QC
Period25/09/0628/09/06

Keywords

  • Adaptive predictors
  • Channel prediction
  • Fuzzy logic control
  • Least-mean-square (LMS) algorithm
  • OFDM
  • Tracking analysis

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    Wen, J. H., Chang, C. Y., Lee, G. R., & Huang, C-Y. (2006). OFDM channel prediction using fuzzy update LMS algorithm in time-variant mobile channel. In 2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall (pp. 1943-1947). [4109669] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCF.2006.404