文章基本信息

标题：Turbo Detection in Rayleigh flat fading channel with unknown statistics
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作者：Mohamed Lassaad AMMARI ; Paul Fortier ; Huu Tue Huynh 等
期刊名称：International Journal of Wireless & Mobile Networks
印刷版ISSN：0975-4679
电子版ISSN：0975-3834
出版年度：2010
卷号：2
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The turbo detection of turbo coded symbols over correlated Rayleigh flat fading channels generated according to Jakes’ model is considered in this paper. We propose a method to estimate the channel signal-to-noise ratio (SNR) and the maximum Doppler frequency. These statistics are required by the linear minimum mean squared error (LMMSE) channel estimator. To improve the system con- vergence, we redefine the channel reliability factor by taking into account the channel estimation error statistics. Simulation results for rate 1/3 turbo code and two different normalized fading rates show that the use of the new reliability factor greatly improves the performance. The improvement is more substantial when channel statistics are unknown.
关键词：MAP-BCJR decoder; SNR; maximum Doppler frequency; turbo processing; channel reliability.