Density-Based Fuzzy C-Means Multi-Center Re-Clustering Radar Signal Sorting Algorithm

Abstract

The strategic position of electronic warfare in modern warfare is constantly improving, and radar detection is the eye of modern information warfare and plays an important role in electronic warfare. This paper designs a new pulse radar sorting algorithm: a Density-Based Fuzzy C-Means Multi-Center Re-Clustering (DFCMRC) radar signal sorting algorithm. This algorithm combines the advantages of the DBSCAN density clustering algorithm and the fuzzy C-means (FCM) clustering algorithm. This paper also optimizes the structure of the DFCMRC algorithm? which changes the algorithm that randomly generated the initial center point to the CFSFDP algorithm. After comparison tests, the DFCMRC algorithm sorting result is better than the k-means algorithm, the DBSCAN algorithm and the FCM algorithm. Also, the membership degree description of DFCMRC is more reasonable than the FCM's. Accelerated optimized DFCMRC algorithm can reduce more than half iterations, which greatly shortens the algorithm calculation time.