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A second-order blind equalization method robust to ill-conditioned SIMO FIR channels

机译:对病态SIMO FIR信道具有鲁棒性的二阶盲均衡方法

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摘要

This paper deals with blind equalization of single-input–multiple-output (SIMO) finite-impulse-response (FIR) channels driven by i.i.d. signal, by exploiting the second-order statistics (SOS) of the channel outputs. Usually, SOS-based blind equalization is carried out via two stages. In Stage 1, the SIMO FIR channel is estimated using a blind identification method, such as the recently developed truncated transfer matrix (TTM) method. In Stage 2, an equalizer is derived from the estimate of the channel to recover the source signal. However, this type of two-stage approach does not give satisfactory blind equalization result if the channel is ill-conditioned, which is often encountered in practical applications. In this paper, we first show that the TTM method does not work in some situations. Then, we propose a novel SOS-based blind equalization method which can directly estimate the equalizer without knowing the channel impulse responses. The proposed method can obtain the desired equalizer even in the case that the channel is ill-conditioned. The performance of our method is illustrated by numerical simulations and compared with four benchmark methods.
机译:本文研究了由i.i.d驱动的单输入多输出(SIMO)有限冲激响应(FIR)通道的盲均衡。通过利用通道输出的二阶统计(SOS)来获得信号。通常,基于SOS的盲均衡是通过两个阶段执行的。在阶段1中,使用盲识别方法(例如最近开发的截断传输矩阵(TTM)方法)估算SIMO FIR信道。在阶段2中,从信道的估计中得出均衡器以恢复源信号。但是,如果信道条件不佳,则这种两阶段方法无法提供令人满意的盲​​均衡结果,这在实际应用中经常会遇到。在本文中,我们首先证明TTM方法在某些情况下不起作用。然后,我们提出了一种新颖的基于SOS的盲均衡方法,该方法可以直接估计均衡器而无需知道信道冲激响应。所提出的方法即使在信道状况不佳的情况下也可以获得期望的均衡器。通过数值模拟说明了我们方法的性能,并与四种基准方法进行了比较。

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