Adaptive equalization based on internal model principle for time-varying fading channels

T. Naito, K. Hidaka, Jingmin Xin, Hiromitsu Ohmori, A. Sano

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

Abstract

A novel adaptive filtering algorithm is presented to identify the time-varying parameters of an FIR channel model. The proposed weights adjusting algorithm incorporates an internal model for compensating the dynamics of the time-varying model parameters. The stability of the adaptive filter can be assured by designing the weights adjusting dynamics in the adaptive algorithm by applying the passivity theorem and the small gain theorem. Its effectiveness of the proposed LMS and RLS types of algorithms is validated by comparing to ordinary LMS approaches in numerical simulation of adaptive identification and decision-feedback equalization of a time-varying fading channel with parameters changing with a first-order function of time.

Original languageEnglish
Title of host publicationIEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages363-368
Number of pages6
ISBN (Print)0780358007, 9780780358003
DOIs
Publication statusPublished - 2000
EventIEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000 - Lake Louise, Canada
Duration: 2000 Oct 12000 Oct 4

Other

OtherIEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000
CountryCanada
CityLake Louise
Period00/10/100/10/4

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering

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    Naito, T., Hidaka, K., Xin, J., Ohmori, H., & Sano, A. (2000). Adaptive equalization based on internal model principle for time-varying fading channels. In IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000 (pp. 363-368). [882501] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASSPCC.2000.882501