Combining RNN equalizer with SOM detector

Xiaoqiu Wang, Jianming Lu, Hua Lin, Nuo Zhang, H. Sekiya, T. Yahagi
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引用次数: 6

Abstract

In this paper, we propose a novel receiver structure by combining adaptive RNN (recurrent neural network) equalizer with a SOM (self-organizing map) detector under serious ISI and nonlinear distortion in QAM system. The performance of the proposed scheme is shown to be quite effective in channel equalization under nonlinear distortion.
RNN均衡器与SOM检测器相结合
本文提出了一种新的接收结构,将自适应RNN均衡器与自组织映射检测器相结合,用于QAM系统中严重的ISI和非线性失真。结果表明,该方法在非线性失真条件下的信道均衡中具有较好的效果。
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