
Grey modeling based estimation for narrowband slow fading slowly time-varying OFDM channels
ZHANG Bin, LI Yong-zhao, MA Shu-hui, WANG Xiao
Systems Engineering - Theory & Practice ›› 2013, Vol. 33 ›› Issue (8) : 2148-2155.
Grey modeling based estimation for narrowband slow fading slowly time-varying OFDM channels
A novel grey modeling based estimation for narrow slow fading slowly time-varying OFDM channels in mobile environments is proposed. By establishing the grey model, the channel state information of the previous time-slot is utilized to dynamically predict the unknown channel state information of the subsequent time-slot. The feasibility of grey modeling applied for estimating the channel characterized by 2-D time-frequency variables is verified by both theoretical analysis and simulations. Compared with conventional channel estimation approaches, the proposed algorithm not only performs well in narrowband slow fading slowly time-varying channels, but also has low complexity and high spectrum efficiency.
grey modeling / slow fading slowly time-varying / channel estimation / OFDM {{custom_keyword}} /
[1] Yang F, Peng K, Wang J, et al. Training sequence design for low complexity channel estimation in transmit diversity TDS-OFDM system[J]. IEICE Trans Commun, 2009, E92.B(6): 2308-2311.
[2] You Y H, Jeon W G, Paik J H, et al. Training sequence design and channel estimation of OFDM-CDMA broadband wireless access networks with diversity techniques[J]. IEEE Transactions on Broadcasting, 2003, 49(4): 354-361.
[3] Mahmoud H M, Mousa A S, Saleem R. Channel estimation based in comb-type pilots arrangement for OFDM system over time varying channel[J]. Journal of Networks, 2010, 5(7): 766-772.
[4] Li C Y, Roy S. Subspace-based blind channel estimation for OFDM by exploiting virtual carriers[J]. IEEE Transactions on Wireless Communications, 2003, 2(1): 141-150.
[5] Necker M C, Stuber G L. Totally blind channel estimation for OFDM on fast varying mobile radio channels[J]. IEEE Transactions on Wireless Communications, 2004, 3(5): 1514-1525.
[6] Ho K Y, Leung S H. A generalized semi-blind channel estimation for pilot-aided OFDM systems[C]// IEEE International Symposium on Circuits and Systems, 2005: 6086-6089.
[7] Ohkubo N, Ohtsuki T. Added pilot semiblind iterative channel estimation for OFDM packet transmission[C]// IEEE Global Telecommunications Conference, 2003: 878-882.
[8] 郭长玉,徐友云,杨峰. 基于卡尔曼滤波器的OFDM系统时变信道估计[J]. 移动通信, 2008, 32(2): 82-85.Guo C Y, Xu Y Y, Yang F. A channel estimation method for time-varying fading OFDM sysytem based on Kalman filter[J]. Mobile Communications, 2008, 32(2): 82-85.
[9] 白宾锋,蔡跃明,徐友云. OFDM系统中一种维纳LMS信道跟踪算法[J]. 电子与信息学报, 2005, 27(11): 1699-1703.Bai B F, Cai Y M, Xu Y Y. A Wiener LMS channel tracking algorithm for OFDM systems[J]. Journal of Electronics and Information Technology, 2005, 27(11): 1699-1703.
[10] 赵知劲,廖彬彬,尹霆. 基于时域RLS自适应滤波的OFDM信道估计[J]. 计算机仿真, 2008, 25(2): 136-140.Zhao Z J, Liao B B, Yin T. A channel estimation method for OFDM based on RLS adaptive filtering on time domain[J]. Computer Simulation, 2008, 25(2): 136-140.
[11] 邓聚龙. 灰色系统基本方法[M]. 武汉:华中科技大学出版社, 2005.
[12] 刘思峰, 党耀国, 方志耕. 灰色系统理论及其应用[M]. 科学出版社, 2004.
[13] Feng D Z, Wang X, Zhang B. A novel filter based on the grey modeling[C]// Proceedings of the 2008 IEEE, the 2nd International Conference on Anti-counterfeiting, Security, and Identification (IEEE ASID2008), August, 2008: 249-253.
[14] IEEE Std 802.16e-2005 and IEEE Std 802.16-2004/Corl-2005[S]. Air Interface for Fixed and Mobile Broadband Wireless Access Systems, Feb, 2006.
[15] Iskander C D, Multisystems H T. A MATLABoledR-based object-oriented approach to multipath fading channel simulation[J/OL]. http://www.mathworks.com/matlabcentral/fileexchange/18869-a-matlab-based-object-oriented- approach-to-multipath-fading-channel-simulation, Feb, 2008.
[16] 王铮. 信道估计中基于变换域的降噪处理技术[J]. 信息技术与信息化, 2006(2): 27-29.Wang Z. Noise reducing technology in channel estimation[J]. Information Technology and Informatization, 2006(2): 27-29.
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