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Blind channel estimation and equalization for multiple FIR channels

机译:多个FIR信道的盲信道估计和均衡

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摘要

This paper deals with the problem of blind equalizations based on effective channel order determination for multiple FIR channels. Most popular order determination methods use the eigenvalue decomposition (EVD) technique with an overmodeled data correlation matrix. However, performing the EVD consumes huge computation resources. In this paper, we consider the channel with infinite small leading and tailing terms which is natural for measured microwave radio channels, and develop a computationally simple method for effective channel order determination. Based on multiple-shift property of a data correlation matrix, a new performance index is analyzed. The channel order is determined if the performance index is greater than a threshold. To select the threshold, we model the performance index as an F-distributed random variable. For a specified confidence level, the threshold can be found from the table. This proposed method does not require EVD, the computation load is much lower than that of the EVD-based methods.
机译:本文基于有效的信道阶数确定对多个FIR信道进行盲均衡处理。最流行的顺序确定方法使用特征值分解(EVD)技术和过建模的数据相关矩阵。但是,执行EVD会消耗大量的计算资源。在本文中,我们考虑具有无限小的前导和尾项的信道,这对于被测微波无线电信道是自然的,并开发了一种计算简单的方法来有效地确定信道顺序。基于数据相关矩阵的多移位性质,分析了一种新的性能指标。如果性能指标大于阈值,则确定信道顺序。为了选择阈值,我们将性能指标建模为F分布随机变量。对于指定的置信度,可以从表中找到阈值。该方法不需要EVD,计算量比基于EVD的方法低得多。

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