An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels
HUANG Min1,2, LI Bingbing1, SUN Ruqin1
1. The State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China; 2. The Institute of Multi-dimensional Signal Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, China
An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels
HUANG Min1,2, LI Bingbing1, SUN Ruqin1
1. The State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China; 2. The Institute of Multi-dimensional Signal Processing, College of Information Engineering, Shenzhen University, Shenzhen 518000, China
摘要 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.
Abstract: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.
基金资助: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).
作者简介: HUANG Min, was born in Guangdong Province in 1985. He received the B.S. and Ph.D. degrees in communication and information system from Xidian University, China, in 2008 and 2015, respectively. Now, he is working as a postdoctoral fellow in the Shenzhen Key Lab of Advanced Navigation Techniques, Shenzhen University. His research interests include channel estimation, signal detection and compressive sensing. (Email:mhuang@szu.edu.cn)
引用本文:
HUANG Min, LI Bingbing, SUN Ruqin. An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels[J]. 电子学报, 2017, 26(1): 199-204.
HUANG Min, LI Bingbing, SUN Ruqin. An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels. Chinese Journal of Electronics, 2017, 26(1): 199-204.
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