Transmission diversity ambiguities and adaptive channel tracking

H. S. Rad, S. Gazor
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引用次数: 2

Abstract

This paper studies the error propagation effect that is caused by some ambiguities in joint data detection-channel tracking algorithm for transmission diversity schemes. Some remedies to avoid or to overcome these error propagations are suggested. In this paper, a ST receiver is used that is based on the maximum a posteriori (MAP) method. It takes into account the channel estimation error assuming the unknown channel to have a given complex multivariate Gaussian probability density function (pdf) (i.e., a Rician channel). An adaptive algorithm which is capable of efficiently tracking a fast Raleigh fading channel is used for iterative channel estimation. However, the occurrence of two types of ambiguities during deep fades result in error propagation. Some solutions called space-time ambiguity remedies (STAR) are proposed to prevent error propagation; a new time varying space-time (VAST) coding is suggested as an efficient method to combat these ambiguities. Simulation results confirm the validity of each proposed technique.
传输分集模糊和自适应信道跟踪
研究了传输分集方案中联合数据检测-信道跟踪算法中存在的一些歧义所引起的误差传播效应。提出了一些避免或克服这些错误传播的补救措施。在本文中,使用基于最大后验(MAP)方法的ST接收器。它考虑了假设未知信道具有给定的复杂多元高斯概率密度函数(pdf)(即,一个专家信道)的信道估计误差。采用一种能够有效跟踪快速罗利衰落信道的自适应算法进行迭代信道估计。然而,在深度渐变过程中出现的两种类型的歧义会导致错误传播。提出了时空模糊补偿(STAR)方法来防止误差传播;提出了一种新的时变空时(VAST)编码方法,作为对抗这些模糊的有效方法。仿真结果验证了所提方法的有效性。
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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