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.
[1] J.G. Proakis, Digital Communications, McGraw-Hill, New York, USA, 2001. [2] Z. Tang, R.C. Cannizzaro, G. Leus, et al., "Pilot-assisted timevarying channel estimation for OFDM systems", IEEE Transaction on Signal Processing, Vol.55, No.5, pp.2226-2238, 2007. [3] M. Huang and B.B. Li, "Research on channel estimation and OFDM signals detection in rapidly time-variant channels", Radioengineering, Vol.23, No.3, pp.880-889, 2014. [4] T. Zemen and C.F. Mecklenbräuker, "Time-variant channel estimation using discrete prolate spheroidal sequences", IEEE Transaction on Signal Processing, Vol.53, No.9, pp.3597-3607, 2005. [5] Y. Mostofi and D. Cox, "ICI mitigation for pilot-aided OFDM mobile systems", IEEE Transaction on Wireless Communications, Vol.4, No.2, pp.765-774, 2005. [6] K. Kwak, S. Lee, H. Min, et al., "New OFDM channel estimation with dual-ICI cancellation in highly mobile channel", IEEE Transaction on Wireless Communications, Vol.9, No.10, pp.3155-3165, 2010. [7] R.D. Kazamel, N.S. Loghin and J. Speidel, "Reliability-based precancellation of inter-carrier interference for highly mobile OFDM systems", Proc. of IEEE Conference on Vehicular Technology, Yokohama, Japan, pp.1-5, 2012. [8] Q. Guo, M. Wu, Q. Zhang, et al., "Novel recursive approach for OFDM channel estimation under highly mobile conditions", Proc. of IEEE Conference on Wireless Communications and Networking, Shanghai, China, pp.312-316, 2012. [9] H.M. Tran and T. Wada, "On ICI canceller for mobile OFDM DTV receivers", Proc. of IEEE Conference on Advanced Communication Technology, Pyeongchang, Korea, pp.290-297, 2014. [10] H. Hijazi and L. Ros, "Polynomial estimation of time-varying multipath gains with intercarrier interference mitigation in OFDM systems", IEEE Transaction on Vehicular Technology, Vol.58, No.1, pp.140-151, 2009. [11] M. Dörpinghaus, On the Achievable Rate of Stationary Fading Channels, Springer, Germany, 2011. [12] W.C. Jakes, Microwave Mobile Channels, John Wiley & Sons, New York, USA, 1974. [13] J. Blogh and L. Hanzo, Third-Generation Systems and Intelligent Wireless Networking:Smart Antennas and Adaptive Modulation, John Wiley & Sons, New York, USA, 2002. [14] F.K.W. Chen, H.C. So, L. Huang, et al., "Underdetermined direction-of-departure and direction-of-arrival estimation in bistatic multiple-input multiple-output radar", Signal Processing, Vol.104, No.11, pp.284-290, 2014. [15] L. Huang, T. Long, E. Mao, et al., "MMSE-based MDL method for accurate source number estimation", IEEE Signal Processing Letters, Vol.16, No.9, pp.798-801, 2009. [16] Y.S. Choi, P.J. Voltz, and F.A. Cassara, "On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels", IEEE Transaction on Communications, Vol.49, No.8, pp.1375-1387, 2001. [17] H.W. Wang, D.W. Lin, and T.H. Sang, "OFDM signal detection in doubly selective channels with whitening of residual intercarrier interference and noise", IEEE Journal on Selected Areas Communications, Vol.30, No.4, pp.684-694, 2012. [18] M. Huang and B.B. Li, "Block-wise equaliser in fast fading channels", IET Communications, Vol.9, No.1, pp.108-116, 2015.
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