| Summary: | 碩士 === 國立交通大學 === 電信工程系所 === 92 === In OFDM channel estimation, we usually utilize training signals. In case of a time varying channel environment, the channel responses, estimated during training period, can't represent the channel during data transmission. In such fast fading channel, we propose the sub-symbol polynomial interpolation algorithm that retains most significant taps algorithm to interpolate channel responses in data position. We derives its mean square error (MSE) that includes both model and noise errors. We verify the MSE performances of the derived results and the simulation results by using a time varying channel, whose statistics are known. The proposed sub-symbol polynomial interpolation that is the most effective in the fast fading channel, compared with the existing polynomial interpolation, the decision direct algorithm, and the linear interpolation.
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