To solve the problems of pixel points overlap and low processing efficiency in existing end-to-end radar signal deinterleaving methods based on image segmentation, an end-to-end sorting method using a point cloud segmentation network is proposed in this paper. Firstly, the Pulse Description Words (PWD) of radar pulse stream are mapped to point clouds. Then, the PointNet++ is used to segment each point according to its radiation source. Finally, the points with the same label are clustered to form pulse sets, and the radiation sources within each pulse set are then extracted to form corresponding emitter description words. The simulation results demonstrate that the proposed method can effectively separate unknown radar signals while maintaining reliability and stability, even in scenarios with pulse loss and false pulse interference. Additionally, the implementation efficiency of this method is higher because of the model with lightweight characteristics.
关键词
电子侦察/信号分选/端到端/脉冲描述字/点云
Key words
Electronic reconnaissance/Signal deinterleaving/End to end/Pulse Description Word (PDW)/Point clouds
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