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 |
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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月 1 → 2000 10月 4 |
Other
Other | IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000 |
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国/地域 | Canada |
City | Lake Louise |
Period | 00/10/1 → 00/10/4 |
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