基于卷积神经网络和半监督学习的无线电信号检测和识别分析

Analysis of Radio Signal Detection and Recognition Based on Convolution Neural Network and Semi-Supervised Learning

阐述对未知信号进行精准检测与识别,采用半监督学习以及卷积神经网络技术,搭建全新的无线电信号检测与识别框架,并对现有的网络结构进行优化设计。

This paper describes the precise detection and recognition of unknown signals, uses semi-supervised learning and convolution neural network technology to build a new radio signal detection and recognition framework, and optimizes the existing network structure.