Novel Pilot-aided Ridge Regression Channel Estimation for SC-FDE System on Time-varying Frequency Selective Fading Channel
Xiu-Hua Li, Lin Ma, Xue-Zhi Tan, Xin Liu
Communication Research Center, Harbin Institute of Technology, Harbin 150001, China
Abstract:
A novel pilot-aided ridge regression (RR) channel estimation for SC-FDE system on time-varying frequency selective fading channel is derived. Previous least square (LS) channel estimation, which does not consider and utilize the influence of noise, has poor performance when the observed signal is corrupted abnormally by noise. In order to overcome the inherent disadvantage of LS estimation, the proposed RR estimation uses the influence of noise to get better performance. The performance of this new estimator is examined. The numerical results are presented to show that the new estimation improves the accuracy of estimation especially in low channel signal-to-noise ratio (CSNR) level and outperforms LS estimation. In addition, the proposed RR estimation can get the gains of about 1dB compared with LS estimation.
Key words: SC-FDE channel estimation least square ridge regression
DOI:10.11916/j.issn.1005-9113.2013.01.005
Clc Number:TN911.5
Fund:
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Novel Pilot-aided Ridge Regression Channel Estimation for SC-FDE System on Time-varying Frequency Se
本站小编 哈尔滨工业大学/2019-10-24
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