基于神经网络的射频载波调制识别

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI:10.1109/ECAI.2016.7861188

C. Oprina, Otilia Cangea, Mihai Dima

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引用次数: 0

摘要

本文提出了一种利用已知调制的射频样本训练神经网络进行调制判别的分析方法。该方法采用快速闪算法来提取射频载波的基本特征——幅度、频率、相位和基座——这些特征随后被呈现在神经网络的入口以进行识别。

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Modulation recognition of RF carriers using neural networks

This paper presents an analysis using the method of modulation discrimination with neural networks trained on RF samples with known modulations. The method resorts to speed flash algorithms in order to extract the essential features of a RF carrier — amplitude, frequency, phase, and pedestal — that are afterwards presented at the entrance of the neural network for discrimination.

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2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

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