Application of K-Means Algorithm Based on Bettle Antennae Optimization to Radar Signal Sorting
Radar signal sorting is to sort out complex radar signals,which is an important basis for radar radiation source recognition.The recent conflict between Russia and Ukraine has also proved the importance of electronic warfare.As a key part of electronic warfare,radar signal sorting plays an important role.A fusion sorting algorithm based on Lumer and Faieta(LF)clustering of ant colony,beetle antennae search(BAS)and K-Means clustering is proposed,which does not need pri-or knowledge of the radar signal.Simulation experiments show that this method can classify com-plex radar signals accurately and has a high sorting accuracy.
radar signal sortingbeetle antennae searchK-Means clusteringLumer and Faieta(LF)clustering
万方数据
维普
