Turbo Channel Estimation and Equalization of STBC-OFDM System over Time-Varying Wireless Channels

被引：1
作者：
Hassan, Mohamed A. S. [1 ]
Hmidat, A. [2 ]
Ukasha, Ali [3 ]
机构：
[1] Nasser Univ, Fac Engn, Tarhona, Libya
[2] Libyan Telecommun Co, Tripoli, Libya
[3] Sebha Univ, Fac Engn, Brack, Libya
来源：
20TH INTERNATIONAL CONFERENCE ON ELECTRONICS COMMUNICATIONS AND COMPUTERS (CONIELECOMP 2010) | 2010年
关键词：
Channel estimation; STBC; OFDM; INTERFERENCE;
D O I：
10.1109/CONIELECOMP.2010.5440796
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents an iterative (turbo) channel estimation and turbo equalization when orthogonal frequency division multiplexing (OFDM) has been concatenated to space-time block code (STBC) over time-varying multipath Rayleigh fading channels. Based on the Kalman filter channel estimator, soft-input-soft-output (SISO) minimum mean square error (MMSE) equalizer and a maximum posterior probability (MAP) decoder, the channel estimate can be improved for each iteration by using soft information feedback from the decoder. Computer simulations show good estimation and tracking by the Kalman filter with only a few training (pilot) symbols even when signals experience deep fading. It is observed from simulations that the overall system performance can be improved by 4dB after 14 iterations compared to non-iterative channel estimation and equalization. The proposed method is shown to obtain fast channel estimation and low complexity turbo equalization which are requirements in time-varying fading channels.
引用
收藏
页码：48 / 52
页数：5
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