基于人工神经网络的连续调相接收机设计

Proceedings of LFNM'2001. 3rd International Workshop on Laser and Fiber-Optical Networks Modeling (Cat. No.01EX463) Pub Date : 2001-05-22 DOI:10.1109/LFNM.2001.930201

I. Kilic, B. Karlik

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引用次数: 0

摘要

本研究的目的是为恒包络连续相位调制(CPM)系统开发基于神经网络的接收器结构。利用这些反向传播神经网络进行前馈网络计算。我们给出了相位分量和正交分量的二元系统输出的仿真结果。

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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Continuous phase modulation receiver design with artificial neural network

The aim of this study is to develop neural network based receiver structures for constant envelope continuous phase modulation (CPM) systems. A feedforward network computation with these back-propagation neural networks was used for this purpose. We present the simulation results of the binary system outputs for the inphase and quadrature components.

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来源期刊

Proceedings of LFNM'2001. 3rd International Workshop on Laser and Fiber-Optical Networks Modeling (Cat. No.01EX463)

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