A Radar Pulse Sorting Algorithm Based on Mean Shift Clustering
Conference: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
03/25/2022 - 03/27/2022 at Wuhan, China
Proceedings: CIBDA 2022
Pages: 5Language: englishTyp: PDF
Authors:
Zhao, Qi; Wu, Peng; Wang, Xinlong; Luo, Xiaowu (Xi’an Institute of Modern Control Technology, China)
Abstract:
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.