Robust Fast Time-Varying Multipath Fading Channel Estimation and Equalization for MIMO-OFDM Systems via a Fuzzy Method

被引:22
|
作者
Chen, Bor-Sen [1 ]
Yang, Chang-Yi [2 ]
Liao, Wei-Ji [1 ]
机构
[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 30013, Taiwan
[2] Natl Penghu Univ Sci & Technol, Dept Comp Sci & Informat Engn, Magong City 880, Taiwan
关键词
Autoregressive (AR) random process; decision-directed channel-tracking design; multiple-input multiple-output (MIMO) communication system; orthogonal frequency-division multiplexing (OFDM) system; Takagi-Sugeno (T-S) fuzzy-based linear model; NONLINEAR DYNAMIC-SYSTEMS; CONTROL DESIGN; H-INFINITY; TRACKING; DIVERSITY;
D O I
10.1109/TVT.2012.2188549
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Channel estimation is an important issue for wireless communication systems. A channel estimation scheme using a Takagi-Sugeno (T-S) fuzzy-based Kalman filter under the time-varying velocity of the mobile station in a multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system is proposed in this paper. The fuzzy technique is used to interpolate several linear models to approximate the nonlinear estimation system. A MIMO system with the orthogonal space-time block coding (OSTBC) scheme is considered, where the radio channel is modeled as an autoregressive (AR) random process. The parameters of the AR process and the channel gain are simultaneously estimated by the proposed method. One-step-ahead prediction can be obtained during this estimation procedure. This is useful for the decision-directed channel-tracking design, particularly in the fast-fading channel. Furthermore, the robust minimum mean-square error (MMSE) equalization design can be achieved by considering the channel prediction error to improve the performance of symbol detection. To validate the performance of our proposed method, several simulation results are given and compared with those of other methods. When considering the time-varying velocity of the mobile station communication in the MIMO-OFDM system, the enhanced equalizer based on the T-S fuzzy-based Kalman filter performs better than those based on the conventional channel estimators in terms of symbol error rate.
引用
收藏
页码:1599 / 1609
页数:11
相关论文
共 49 条
  • [21] A novel simplified channel tracking method for MIMO-OFDM systems with null sub-carriers
    Jeon, Hyoung-Goo
    Serpedin, Erchin
    SIGNAL PROCESSING, 2008, 88 (04) : 1002 - 1016
  • [22] Robust FIR equalization for time-varying communication channels with intermittent observations via an LMI approach
    Zhang, Hui
    Shi, Yang
    Mehr, Aryan Saadat
    Huang, Haining
    SIGNAL PROCESSING, 2011, 91 (07) : 1651 - 1658
  • [23] Sampling Point Selection Scheme for Fractional Sampling-OFDM Receivers on Fast Time-Varying Multipath Channels
    Kobayashi, Tatsuya
    Nishimura, Haruki
    Sanada, Yukitoshi
    2010 IEEE 72ND VEHICULAR TECHNOLOGY CONFERENCE FALL, 2010,
  • [24] Relay selection in cooperative communication systems over continuous time-varying fading channel
    Geng Ke
    Gao Qiang
    Fei Li
    Xiong Huagang
    CHINESE JOURNAL OF AERONAUTICS, 2017, 30 (01) : 391 - 398
  • [25] Sampling Point Selection Scheme for Fractional Sampling-OFDM Receivers on Fast Time-Varying Multipath Channels
    Kobayashi, Tatsuya
    Nishimura, Haruki
    Sanada, Yukitoshi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2010, E93A (11) : 2122 - 2129
  • [26] Robust Minimax MSE Equalizer Designs for MIMO Wireless Communications With Time-Varying Channel Uncertainties
    Ho, Tan-Jan
    Chen, Bor-Sen
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (11) : 5835 - 5844
  • [27] Robust Fast Adaptive Fault Estimation for T-S Fuzzy Markovian Jumping Systems with Mode-Dependent Time-Varying State Delays
    Sun, Chao
    Huang, Shengjuan
    Wu, Libing
    Yi, Suhuan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021 (2021)
  • [28] Time-Selective Channel Estimation in Two-Way Multi-relay MIMO-OFDM Transmissions
    Thuy Tran-Thi-Thu
    Dung Tran-Van
    Hung Nguyen-Le
    2013 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), 2013, : 28 - 32
  • [29] Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems
    Zhou, Zhou
    Fang, Jun
    Yang, Linxiao
    Li, Hongbin
    Chen, Zhi
    Blum, Rick S.
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (07) : 1524 - 1538
  • [30] SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems
    Mishra, Amrita
    Yashaswini, N. S.
    Jagannatham, Aditya K.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (05) : 4220 - 4232