Electromagnetic signal parameter measurement and repeatition frequency tracking under the condition of time-frequency aliasing are difficult and important for the study in the field of elec-tromagnetic countermeasures.In order to measure the parameters of multiple signals in the time-frequency domain and track their repeatition frequency,a deep neural network which can be used for the feature extraction,recognition and segmentation of electromagnetic signals is constructed.Through the neural network,the electromagnetic signal is first identified,and then the parameter measurement and repeatition frequency tracking of electromagnetic signal are carried out,which ef-fectively solve the problem of parameter measurement and repeat frequency tracking of aliasing signals.The effectiveness of the method is verified by using the radio frequency(RF)direct sam-pling data with three-signal aliasing.
关键词
混叠信号/参数测量/神经网络/重频跟踪
Key words
aliasing signal/parameter measurement/neural network/repeatition frequency tracking
维普
万方数据