Radar Emitter Signal Sorting Method Based on Density Clustering Algorithm of Signal Aliasing Degree Judgment

摘要

In modern warfare, possessing advanced electronic warfare technology and equipment can occupy a dominant position in the war and greatly improve the victory rate. Radar emitter signal recognition is a key technology in electronic countermeasures. How to quickly and accurately recognize radar emitter signals is an urgent problem to be solved in electronic countermeasures. In this paper, A radar emitter signal sorting method is proposed to solve the problem of low success rate of radar emitter signal sorting in complex electromagnetic environment, the radar emitter signal sorting can be completed quickly and efficiently by judging the degree of radar emitter signal aliasing, reorganizing the sample sequence, and adopting fast density clustering sorting to process the carrier frequency and pulse width two sorting characteristics. It has certain practical value in the field of radar emitter signal sorting.