Signal Sorting Based on SVC & K-Means Clustering in ESM Systems
As radar signal environments become denser and radar signals become more complex, the task of an ESM operator becomes more difficult. This paper presented a de-interleaving/recognition system of radar pulses based on the combination of SVC and K-means clustering. Compared the conventional de-interleaving system, it can produce more complex and compact clustering boundaries according to the distribution characteristics of data set and has good generalization performance. The simulation experiment result shows that the system can sort efficiently radar signals in the high density and complex pulses environment.
KeywordsSupport Vector Machine Radar Signal Radar Pulse High Dimensional Feature Space Cluster Boundary
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