{"title":"A Monopulse Radar Anti-jamming Method Based on Labeled GM-PHD","authors":"Lei Qiu, Jun Yang, Yize Fan","doi":"10.1109/ICPECA53709.2022.9719167","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA53709.2022.9719167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.