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

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルIEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000
出版社Institute of Electrical and Electronics Engineers Inc.
ページ363-368
ページ数6
ISBN(印刷版)0780358007, 9780780358003
DOI
出版ステータスPublished - 2000
イベントIEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000 - Lake Louise, Canada
継続期間: 2000 10 12000 10 4

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理
  • 制御およびシステム工学

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