A Monopulse Radar Anti-jamming Method Based on Labeled GM-PHD

Monopulse tracking radar can achieve high tracking and measurement precision and is widely used in space exploration, target measurement and weapon control areas. The anti-jamming of monopulse radar is an important issue. When jamming is treated as one or more false targets, radar anti-jamming can be regarded as a multiple targets tracking problem. This paper proposed a monopulse radar anti-jamming method based on labeled Gaussian Mixture Probability Hypothesis Density (GM-PHD) filtering. Firstly, random finite set (RFS) theory, GM-PHD filtering and labeled GM-PHD are introduced, then labeled GM-PHD filtering is used to distinguish jammer from the real target by four steps: prediction, update, cut and merge, and state estimation. Finally delay-retransmit jamming simulation was performed to verify the proposed method.