Abstract
AbstractFor 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.KeywordsRadar signal sortingMachine learningCluster algorithmDeep learning
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