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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schafhuber, D. Matz, G. |
| Copyright Year | 2002 |
| Abstract | We propose decision-directed channel predictors for orthogonal frequency-division multiplexing (OFDM) communications over time-varying channels. Channel prediction is capable of yielding up-to-date channel state information even without regular transmission of pilot symbols. It is thus potentially useful for delay-free equalization, antenna combining, space-time decoding, adaptive modulation, adaptive power control, and adaptive transmit antenna diversity. We derive a minimum mean-square error channel predictor and its efficient discrete Fourier transform implementation. Furthermore, we develop adaptive predictors that do not require any statistical prior knowledge and are able to track nonstationary channel and noise statistics. Simulation results involving an OFDM receiver in which channel prediction is used for delay-free equalization demonstrate the excellent performance of the proposed techniques even for fast time-varying channels. |
| Starting Page | 593 |
| Ending Page | 602 |
| Page Count | 10 |
| File Size | 657481 |
| File Format | |
| ISSN | 15361276 |
| Volume Number | 4 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Time-varying channels OFDM Programmable control Adaptive control Delay Adaptive arrays Transmitting antennas Diversity reception Frequency division multiplexing Channel state information time-varying channels Adaptive predictors channel prediction equalization multicarrier modulation orthogonal frequency-division multiplexing (OFDM) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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