Combining RNN Equalizer with SOM Detector

机译：将RNN均衡器与SOM检测器组合

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摘要

In this paper, we propose a novel receiver structure by combining adaptive RNN (re-current neural network) equalizer with a SOM (self-organizing map) detector under serious ISI and non-linear distortion in QAM system. The performance of the proposed scheme is shown to be quite effective in channel equalization under nonlinear distortion.

机译：在本文中，我们提出了一种在IAM和非线性失真严重的情况下，将自适应RNN（递归神经网络）均衡器与SOM（自组织图）检测器相结合的新型接收器结构。所提出的方案的性能在非线性失真下的信道均衡中非常有效。

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来源
《2002 6th International Conference on Signal Processing Proceedings (ICSP'02) Vol.2; Aug 26-30, 2002; Beijing, China》|2002年|p.1291-1294|共4页
会议地点 Beijing(CN);Beijing(CN)
作者
Xiaoqiu Wang; Jianming Lu; Hua Lin; Nuo Zhang; Hiroo Sekiya; Takashi Yahagi;
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作者单位

Graduate school of science and technology. Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, Japan, 263-8522;

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原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
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Combining RNN Equalizer with SOM Detector

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