Recursive Channel Estimation Based on Finite Parameter Model Using Reduced-Complexity Maximum Likelihood Equalizer for OFDM over Doubly-Selective Channels(<Special Section>Wide Band Systems)
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概要
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To take intercarrier interference (ICI) attributed to time variations of the channel into consideration, the time- and frequency-selective (doubly-selective) channel is parameterized by a finite parameter model. By capitalizing on the finite parameter model to approximate the doubly-selective channel, a Kalman filter is developed for channel estimation. The ICI suppressing, reduced-complexity Viterbi-type Maximum Likelihood (RML) equalizer is incorporated into the Kalman filter for recursive channel tracking and equalization to improve the system performance. An enhancement in the channel tracking ability is validated by theoretical analysis, and a significant improvement in BER performance using the channel estimates obtained by the recursive channel estimation method is verified by Monte-Carlo simulations.
- 社団法人電子情報通信学会の論文
- 2005-11-01
著者
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Ohno Shuichi
Hiroshima Univ. Higashihiroshima‐shi Jpn
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Ohno Shuichi
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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TEO Kok
Department of Artificial Complex Systems Engineering, Graduate School of Engineering, Hiroshima Univ
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Teo Kok
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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Hinamoto Takao
Hiroshima Univ. Higashi‐hiroshima‐shi Jpn
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Hinamoto Takao
Department Of Artificial Complex Systems Engineering Graduate School Of Engineering Hiroshima Univer
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