Research on technology of radar emitter recognition

Artificial intelligence technologies are introduced to radar countermeasure intelligence processing in recent years. Based on radar practical reconnaissance environment, several radar emitter recognition algorithms are studied in this paper. They are fuzzy comprehensive evaluation, gray correlation analysis, and fuzzy pattern recognition. In this paper, the performance of these recognition algorithms are compared and evaluated based on computational expense and correct recognition rate. Furthermore, these algorithms are full compared with classical statistical pattern recognition through simulation. These results are very important for above recognition algorithms in engineering implementations and applications.