HUANG Min, LI Bingbing, SUN Ruqin, “An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 199-204, 2017, doi: 10.1049/cje.2016.10.013
Citation: HUANG Min, LI Bingbing, SUN Ruqin, “An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 199-204, 2017, doi: 10.1049/cje.2016.10.013

An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels

doi: 10.1049/cje.2016.10.013
Funds:  This work was supported by the 111 Project (No.B08038), the National Natural Science Foundation of China (No.61501348, No.61271299, No.U1501253), the Natural Science Basic Research Plan in Shaanxi Province of China (No.2016JQ6039), the Natural Science Foundation of Guangdong Province (No.2015A030311030), and the Science and Technology Innovation Commission of Shenzhen (No.JCYJ20150324140036835, No.ZDSYS201507081625213, No.KC2015ZDYF0023A).
  • Received Date: 2014-03-28
  • Rev Recd Date: 2014-08-20
  • Publish Date: 2017-01-10
  • This paper deals with an efficient method for channel estimation in Orthogonal frequency-division multiplexing (OFDM) systems. The channels are assumed to be Time-varying (TV) and approximated by a Second-order polynomial (SOP) model. Increasing the polynomial order reduces the model error, but requires more polynomial estimation time. In order to circumvent the problem, we construct two SOP models by using a repeated-pattern preamble and pilots. As the channel information can be obtained from the second SOP model which polynomial estimation period is shorter than that of general SOP model, the proposed scheme is superior to the existing methods. Simulation results are presented to illustrate the superiority of our proposed approach.
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