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Symbol-timing estimation in space-time coding systems based on orthogonal training sequences

机译:基于正交训练序列的时空编码系统中的符号定时估计

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摘要

Space-time coding has received considerable interest recently as a simple transmit diversity technique for improving the capacity and data rate of a channel without bandwidth expansion. Most research in space-time coding, however, assumes that the symbol timing at the receiver is perfectly known. In practice, this has to be estimated with high accuracy. In this paper, a new symbol-timing estimator for space-time coding systems is proposed. It improves the conventional algorithm of Naguib et al. such that accurate timing estimates can be obtained even if the oversampling ratio is small. Analytical mean-square error (MSE) expressions are derived for the proposed estimator. Simulation and analytical results show that for a modest oversampling ratio (such as Q equal to four), the MSE of the proposed estimator is significantly smaller than that of the conventional algorithm. The effects of the number of transmit and receive antennas, the oversampling ratio, and the length of training sequence on the MSE are also examined.
机译:时空编码最近作为一种简单的发射分集技术而引起了广泛的关注,该技术用于在不进行带宽扩展的情况下提高信道的容量和数据速率。但是,大多数时空编码研究都假设接收器的符号定时是众所周知的。在实践中,必须以很高的精度进行估算。本文提出了一种新的空时编码系统符号定时估计器。它改进了Naguib等人的传统算法。这样,即使过采样率很小,也可以获得准确的时序估计。推导了估计的估计均方误差(MSE)表达式。仿真和分析结果表明,对于适度的过采样率(例如Q等于4),所提出的估计器的MSE明显小于常规算法。还检查了发射和接收天线的数量,过采样率以及训练序列长度对MSE的影响。

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