An improved cluster labeling algorithm based on vector similarity in radar signal sorting

摘要

Radar signal sorting is a process of detecting and identifying the target radar emitter. This paper presents an improved cluster labeling algorithm based on vector similarity in radar signal sort, which reduces the computation complexity without loss of accuracy. The basic idea of the algorithm is making full use of the features of support vectors to search the stable equilibrium points and calculating the similarity of vectors to assign the rest data points. Simulation results show the effectiveness of the proposed method.