Joint data and Kalman estimation for Rayleigh fading channels

被引：12
|
作者：
Omidi M.J. [1 ]
Pasupathy S. [1 ]
Gulak P.G. [1 ]
机构：
[1] Isfahan University of Technology, Isfahan
来源：
Wireless Personal Communications | 1999年 / 10卷 / 3期
关键词：
fading channel; channel estimation; Kalman filtering; MLSE-based;
D O I：
10.1023/A:1018366300839
中图分类号：
学科分类号：
摘要：
Channel estimation is an essential part of many detection techniques proposed for data transmission over fading channels. For the frequency selective Rayleigh fading channel an autoregressive moving average representation is proposed based on the fading model parameters. The parameters of this representation are determined based on the fading channel characteristics, making it possible to employ the Kalman filter as the best estimator for the channel impulse response. For IS-136 formatted data transmission the Kalman filter is employed with the Viterbi algorithm in a Per-Survivor Processing (PSP) fashion and the overall bit error rate performance is shown to be superior to that of detection techniques using the RLS and LMS estimators. To allow more than one channel estimation per symbol interval, Per-Branch Processing (PBP) method is introduced as a general case of PSP and its effect on performance is evaluated. The sensitivity of performance to parameters such as fading model order and vehicle speed is also studied.
引用
收藏
页码：319 / 339
页数：20
相关论文
共 50 条
  • [31] SYMBOL-AIDED CHANNEL ESTIMATION WITH NONSELECTIVE RAYLEIGH FADING CHANNELS
    DANDREA, AN
    DIGLIO, A
    MENGALI, U
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1995, 44 (01) : 41 - 49
  • [32] Novel SNR estimation for turbo decoding over Rayleigh fading channels
    Zhao, Hongyu
    Fan, Pingzhi
    Mathiopoulos, P. Takis
    PROCEEDINGS OF 2006 IEEE INFORMATION THEORY WORKSHOP, 2006, : 179 - +
  • [33] Doppler spread estimation for mobile OFDM systems in Rayleigh fading channels
    Cai, JP
    Song, WT
    Li, Z
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2003, 49 (04) : 973 - 977
  • [34] MIMO-OFDM frequency offset estimation for Rayleigh fading channels
    Aswini, S. H.
    Lekshmi, Ardra B. N.
    Sekhar, Suma
    Pillai, Sakuntala S.
    2014 FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL SYSTEMS AND COMMUNICATIONS (ICCSC), 2014, : 191 - 196
  • [35] Channel Estimation for FBMC/OQAM with Fast Fading Channels by Kalman Filter
    Wu, Shaochuan
    Liu, Xiaoqing
    Wei, Yuming
    Bai, Xu
    2018 14TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2018, : 987 - 992
  • [36] Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters
    Aldababseh, Mahmoud
    Jamoos, Ali
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [37] Channel estimation for OFDM with fast fading channels by modified Kalman filter
    Han, KY
    Lee, SW
    Lim, JS
    Sung, KM
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2004, 50 (02) : 443 - 449
  • [38] Estimation of noise and interfering power for transmissions over Rayleigh fading channels
    Husson, L
    Wautier, A
    Antoine, J
    Dany, JC
    IEEE VTC 53RD VEHICULAR TECHNOLOGY CONFERENCE, SPRING 2001, VOLS 1-4, PROCEEDINGS, 2001, : 1548 - 1552
  • [39] Improvement of extended symbol-aided estimation for Rayleigh fading channels
    Tokyo Inst of Technology, Tokyo, Japan
    IEICE Trans Fund Electron Commun Comput Sci, 10 (2073-2082):
  • [40] Maximum likelihood frequency estimation in multipath Rayleigh sparse fading channels
    Zakharov, YV
    Baronkin, VM
    Tozer, TC
    2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2002, : 36 - 40
12345