Extract pulse clustering in radar signal sorting
Sheng Yang, Changbo Hou, Weijian Si · 2017
Radar signal sorting is a process of detecting and identifying the target radar emitter. This paper presents an extract pulse clustering algorithm based on support vector clustering, which tremendously reduces the CPU run time without loss of accuracy. The basic idea of the algorithm is to extract part of the radar signal pulses randomly and analyze the extracted pulses. Simulation results show the effectiveness of the proposed method.