A Radar Pulse Sorting Algorithm Based on Mean Shift Clustering

Inhalt:
A radar pulse sorting algorithm based on mean shift clustering for the high density electromagnetic pulses is proposed in this paper. The Fast Fourier Transformation is applied to the signal received by the reconnaissance aircraft, and the pulse description words are input to the improved mean shift clustering algorithm, which is an iterative clustering algorithm based on the kernel density gradient estimation and no parameter fast pattern matching. After the mean shift algorithm calculation, the classification results of radar pulse and the pulse description words of each type of radar pulse are obtained.