A Research on an Unknown Radar Signal Sorting with DBSCAN-BP Algorithm

For the unknown radar signal, this paper proposes a radar signal sorting algorithm DBSCAN-BP algorithm which combines unsupervised learning with supervised learning. DBSCAN algorithm is used to pre-sort and de-noise the unknown radar signal pulse data, and then BP neural network is used to finally sort the pre-sorting results of DBSCAN algorithm to realize the radar signal classification. In addition, this paper also proposes a method of radar data set division based on frame number, which can guide the simulation of real scene and make the radar sorting process more scientific.