一种基于MLP/ bp的窄带信道中NRZ信号恢复均衡器

Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144) Pub Date : 2000-08-08 DOI:10.1109/MWSCAS.2000.951462

Terng-Ren Hsu, Terng-Yin Hsu, Hsuan-Yu Liu, Shuenn-Der Tzeng, Jyh-Neng Yang, Chen-Yi Lee

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引用次数: 8

摘要

采用反向传播算法(MLP/BP)实现了多层感知器神经网络作为带限信道中非归零(NRZ)信号恢复均衡器。将其作为自适应滤波器应用于NRZ信号的恢复。通过计算机仿真，该设计可以在10mhz信道中恢复100mhz的NRZ数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A MLP/BP-based equalizer for NRZ signal recovery in band-limited channels

A multi-layered perceptron neural network with the backpropagation algorithm (MLP/BP) is realized as an equalizer for nonreturn-to-zero (NRZ) signal recovery in band-limited channels. It is applied as an adaptive filter to recover the NRZ signal. By computer simulations, the proposed design can recover 100 MHz NRZ data in a 10 MHz channel.

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Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)

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