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A Low Complexity DFT Based Channel Estimation Method for OFDM Systems |
Wang Yi-rong; Zhou En;Wang Wen-bo |
Wireless Signal Processing & Network Lab, Beijing University of Posts and Telecomm., Beijing 100876, China |
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Abstract Aimed at the practical OFDM based systems with virtual subcarriers, a low complexity DFT based channel estimation method is proposed. The performance and algorithm complexity of the proposed method are compared with the classic Least Square (LS) and linear minimum mean square error algorithms. The DFT based method can well reduce the noise effect and obtain a large gain compared to LS algorithm. The proposed method has a good tradeoff between performance and complexity, which is promising for practical applications.
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Received: 01 June 2006
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