摘要
信号调制识别是通信侦察的重要环节.在现代战争中,信号密度日益增大、波形更加复杂、调制类型越来越多、环境干扰大等情况都导致通信侦察的电磁环境更加复杂,信号调制识别越来越困难.近年来神经网络算法得到了极大的发展,卷积神经网络算法被广泛应用于各个领域.应用一种改进卷积神经网络进行信号的调制识别工作,得到了较为准确的识别效果.
Abstract
Signal modulation identification is an important part of communication reconnaissance.In modern war,the cases such as increasing signal density,more complex waveform,more and more modulation types,large environmental interference,etc.lead to more complex electromagnetic envi-ronment of communication reconnaissance,which results in more and more difficult signal modula-tion identification.In recent years,neural network algorithms have been greatly developed,and con-volutional neural network algorithms have been widely used in various fields.In this paper,an im-proved convolutional neural network is used for signal modulation recognition,and a more accurate recognition effect is obtained.
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