基于人工神经网络算法的频谱感知研究

Zhilu Wu, Man Luo, Zhendong Yin, Yuanjun Zhao
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引用次数: 1

摘要

针对统一s波段(USB)测控系统的信号特点,提出了一种基于人工神经网络(ANN)的频谱感知方法。利用人工神经网络的自主学习能力设计了频谱感知分类器。对分离的分类器采集到的信息进行研究和存储,以准确判断主信号是否存在。通过对比分析,可以证明基于人工神经网络的频谱感知具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Spectrum Sensing Based on ANN Algorithm
According to signal characteristic of Unified S-band (USB) measurement and control system, a method of spectrum sensing based on artificial neural network (ANN) is introduced in this paper. Spectrum sensing classifier is designed by the independent learning ability of ANN. The information collected by departed classifier is studied and stored to accurately judge that whether the master signal exists or not. With comparison and analysis, it can be proved that the spectrum sensing based on ANN possesses a higher accuracy.
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