Automatic Recognition Algorithm of UAV Signal Based on Random Forest
An Automatic recognition algorithm of UAV signal based on Random Forest(RF)is proposed for theap plication under low signal-to-noise ratio(SNR).Firstly,the time domain and frequency domain characteristics of UAV signal are analyzed.Then,the feature vector composed of 4 kinds of characteristic parameters of UAV signal is presented as the data set,and the calcula-tion method of the characteristic parameters is optimized.Finally,a RF classification recognition model is designed.The simulation results show that the algorithm can achieve 90％recognition rate when the SNR is 6 dB,which has strong robustness and low SNR environment adaptabili-ty.Meanwhile,the algorithm complexity is low and the model parameters are few,which pro-vides a realistic basis for the subsequent hardware implementation.
万方数据
维普
