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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyosung Kim Tugnait, J.K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical & Computer Engineering, Auburn University, AL 36849, USA (Hyosung Kim; Tugnait, J.K.) |
| Abstract | We consider a decision-directed tracking approach to doubly-selective channel estimation exploiting the complex exponential basis expansion model (CE-BEM). The time-varying nature of the channel is well captured by the CE-BEM while the time-variations of the (unknown) BEM coefficients are likely much slower than those of the channel. We track the BEM coefficients via the exponentially-weighted recursive least-squares (RLS) algorithm, aided by symbol decisions from a decision-feedback equalizer (DFE). Such a scheme was recently presented in a conference paper by the authors [1]. In this paper we investigate selection of the forgetting factor in the RLS algorithm. We show that its selection depends upon how often the BEM coefficients are updated and we provide simple guidelines for its choice. Simulation examples demonstrate superior performance of the proposed decision-directed scheme over an existing subblock-wise channel tracking scheme. |
| Starting Page | 645 |
| Ending Page | 649 |
| File Size | 236506 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424458257 |
| ISSN | 10586393 |
| e-ISBN | 9781424458271 |
| DOI | 10.1109/ACSSC.2009.5469921 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resonance light scattering Channel estimation Guidelines Filtering algorithms Polynomials Finite impulse response filter Vectors Decision feedback equalizers Estimation error Adaptive filters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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