Special color four-dimensional view for radar emitter identification
In order to solve the problem of serious information loss when ambiguity function is used as input of radar emitter recognition deep learning model,a special input method of color mapping four-dimensional view is proposed.Firstly,the ambiguity function is mapped to the red-green color space,and then the input of the recognition model is formed by splicing the three views and the main ridge.This input method is more consistent with the distribution of ambiguity function and the characteristics of deep network image process-ing.The simulation results show that when the special color four-dimensional view is used as the input of AlexNet network,the accuracy is 88.71％when SNR=-6dB,which is 14.61％higher than other input methods.The new input method significantly improves the accuracy and robustness of the identification model and can be used as an input method for the intelligent identification system of radar emitter.
deep learningradar signal recognitionambiguity functioncolormapfeature extraction
万方数据
维普
