Author Name | Affiliation | Xiu-Hua Li | Communication Research Center, Harbin Institute of Technology, Harbin 150001, China | Lin Ma | Communication Research Center, Harbin Institute of Technology, Harbin 150001, China | Xue-Zhi Tan | Communication Research Center, Harbin Institute of Technology, Harbin 150001, China | Xin Liu | Communication Research Center, Harbin Institute of Technology, Harbin 150001, China |
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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: |