Liu Ying-Nan, Jiang Wei, Yao Chun-Guang, Liang Qing-Lin. Doubly Selective Channel Estimation Based on Ideal Autocorrelation Sequence[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2423-2426. doi: 10.3724/SP.J.1146.2007.00553
Citation:
Liu Ying-Nan, Jiang Wei, Yao Chun-Guang, Liang Qing-Lin. Doubly Selective Channel Estimation Based on Ideal Autocorrelation Sequence[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2423-2426. doi: 10.3724/SP.J.1146.2007.00553
Liu Ying-Nan, Jiang Wei, Yao Chun-Guang, Liang Qing-Lin. Doubly Selective Channel Estimation Based on Ideal Autocorrelation Sequence[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2423-2426. doi: 10.3724/SP.J.1146.2007.00553
Citation:
Liu Ying-Nan, Jiang Wei, Yao Chun-Guang, Liang Qing-Lin. Doubly Selective Channel Estimation Based on Ideal Autocorrelation Sequence[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2423-2426. doi: 10.3724/SP.J.1146.2007.00553
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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