Signals Deinterleaving for ES systems using Improved CFSFDP Algorithm
Hongbo Li, Jian Min Zhao, Yun Zhang · 2019
The deinterleaving of radar signal is a significant function of the electronic support (ES) systems. This paper proposes an improved CFSFDP (fast search and find of density peaks) clustering algorithm for radar signal deinterleaving. First, we discussed the characteristics of the radar signal data set to ensure that the clustering method is suitable for the radar signal data set. Second, since most clustering algorithms require manual calibration of cluster centers and numbers, this paper defines a method for automatically selecting cluster centers, so that manual selection becomes automatic extraction. Finally, a simulation was performed to verify the effectiveness and accuracy of the algorithm.