Illegal broadcast signals refer to radio stations established without the approval of the national radio management department.Such signals can disrupt the normal radio communication order.Therefore,this paper proposes an illegal broadcast signal monitoring method based on time-frequency domain feature extraction and Back Propagation(BP)neural network.This method first uses the time-frequency domain analysis method to extract the characteristics of the signal,and then uses the BP model for classification.In the experiment,this article used MATLAB to generate a simulated broadcast signal data set and tested the method.The results show that the accuracy,recall rate and F1 value of this method all reach more than 99％,which proves the correctness of this method.
关键词
深度学习/广播信号/时频域特征提取/反向传播(BP)神经网络
Key words
deep learning/broadcast signal/time-frequency domain feature extraction/Back Propagation(BP)neural network
维普
万方数据