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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Naito, T. Hidaka, K. Jingmin Xin Ohmori, H. Sano, A. |
| Copyright Year | 2000 |
| Description | Author affiliation: Keio Univ., Yokohama, Japan (Naito, T.) |
| 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. |
| Starting Page | 363 |
| Ending Page | 368 |
| File Size | 504286 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780358007 |
| DOI | 10.1109/ASSPCC.2000.882501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-10-04 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Stability Adaptive algorithm Adaptive filters Resonance light scattering Adaptive equalizers Filtering algorithms Finite impulse response filter Numerical simulation Least squares approximation |
| Content Type | Text |
| Resource Type | Article |
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