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| Doubly Selective Channel Estimation Based on Ideal Autocorrelation Sequence |
| Liu Ying-nan① Jiang Wei① Yao Chun-guang② Liang Qing-lin① |
| ①(School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China) ②(Electronic Science and Engineer College, National University of Defense Technology, Changsha 410073, China) |
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Abstract High data rates and high mobility-induced Doppler shifts introduce time- and frequency-selectivity in wireless links. Recently, doubly selective channel estimation has attracted much attention. In this paper, using a basis expansion channel model, a scheme based on ideal autocorrelation sequence is proposed for the estimation of doubly selective channel parameters. The training sequences have constant modulus so that large peak-to-average ratio problem can be avoided. It has been shown that the employment of this optimal pilot sequence can minimize Mean-Square Error (MSE) of the channel estimation. Simulation results demonstrate that the peak-to-average ratio of the proposed scheme is considerably improved compared to the existing zero-padding scheme for the same MSE performance.
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Received: 10 April 2007
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Corresponding Authors:
Liu Ying-nan
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2008, Vol. 30 
