Turbo channel estimation and equalization of STBC-OFDM system over time-varying wireless channels

2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP) Pub Date : 2010-04-01 DOI:10.1109/CONIELECOMP.2010.5440796

Mohamed A. S. Hassan, A. M. Hmidat, A. Ukasha

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引用次数: 4

Abstract

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.

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时变无线信道下STBC-OFDM系统的Turbo信道估计与均衡

本文提出了正交频分复用(OFDM)与时变多径瑞利衰落信道上的空时分组码(STBC)相连接时的迭代信道估计和turbo均衡方法。在卡尔曼滤波信道估计器、软输入-软输出最小均方误差均衡器和最大后验概率解码器的基础上，利用解码器的软信息反馈对每次迭代的信道估计进行改进。计算机仿真表明，即使信号经历深度衰落，卡尔曼滤波器仅使用少量训练(导频)符号也能很好地估计和跟踪信号。仿真结果表明，与非迭代信道估计和均衡相比，经过14次迭代后，系统整体性能可提高4dB。该方法能够满足时变衰落信道中快速信道估计和低复杂度turbo均衡的要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP)

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