虚拟噪声在无约束频域均衡中的作用

M. Magarini, A. Spalvieri
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引用次数: 4

摘要

决策反馈均衡是一种流行的信号检测方法,它允许在复杂性和性能之间进行良好的权衡。决策反馈均衡器(DFE)的复杂性主要集中在前馈滤波器上,通常采用FIR形式实现。当获得接近最优性能所需的FIR滤波器的抽头数量变得很大时,可以利用FFT/IFFT算法在离散频域实现前馈滤波器的效率。在假设完全了解静态信道的情况下,我们考虑了在离散频域具有前馈滤波器的最小均方误差(MMSE) DFE。我们从观察到最优的MMSE-DFE前馈滤波器是IIR出发,指出了当接收信号与上述IIR之间的线性卷积近似于圆卷积较差时,具有重叠/保存的无约束频域滤波的经典方案可能会导致误码率大幅增加。我们的主要发现是,在计算频域前馈滤波器的传递函数时,故意增加噪声的功率可以显著提高错误率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of virtual noise in unconstrained frequency domain equalization
Decision feedback equalization is a popular method for signal detection that allows a good trade off between complexity and performance. The complexity of the decision feedback equalizer (DFE) is mainly concentrated in the feedforward filter, which is often realized in FIR form. When the number of taps of the FIR filter needed to obtain nearly optimal performance becomes large, one may take advantage of the efficiency of the FFT/IFFT algorithm realizing the feedforward filter in the discrete frequency domain. In this paper we consider the minimum mean square error (MMSE) DFE with feedforward filter in the discrete frequency domain, assuming perfect knowledge of a static channel. We move from the observation that the optimal MMSE-DFE feedforward filter is IIR, and point out that the classical scheme of unconstrained frequency domain filtering with overlap/save digital signal processing may induce substantial increase in the error rate when the approximation of the linear convolution between the received signal and the mentioned IIR, to a circular convolution is poor. Our main finding is that the error rate can be significantly improved by deliberately augmenting the power of the noise in the computation of the transfer function of the frequency domain feedforward filter.
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