| Paper: | SPCOM-L1.5 | ||
| Session: | Frequency/Channel Estimation in OFDM | ||
| Time: | Tuesday, May 18, 14:20 - 14:40 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing for Communications: Detection, Estimation, and Demodulation | ||
| Title: | KALMAN-FILTER CHANNEL ESTIMATOR FOR OFDM SYSTEMS IN TIME AND FREQUENCY-SELECTIVE FADING ENVIRONMENT | ||
| Authors: | Ruifeng Zhang; Drexel University | ||
| Wei Chen; Drexel University | |||
| Abstract: | We present a Kalman-filter method for the estimation of time-frequency-selective fading channels in OFDM systems.Based on the Jakes model, an auto-regressive (AR) model of the channel dynamics is built. To reduce the complexityof the high-dimensional Kalman filer for joint estimation of the subchannels, we propose to use a low-dimensional Kalman filter for the estimation of each subchannel. Then, a minimum mean-square-error (MMSE) combiner is used to refine the Kalman estimates. The per-subchannel Kalman estimator explores the time-domain correlation of the channel, while the MMSE combiner explores the frequency-domain correlation. This two-step solution offers a performance comparable to the much more complicated Kalman joint estimator. | ||
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