{"title":"基于滤波响应损失的离散旁瓣杂波确定方法","authors":"He Wen, Chongdi Duan, Weiwei Wang, Yu Li","doi":"10.1145/3372806.3372812","DOIUrl":null,"url":null,"abstract":"For air moving target detection with space-based radar (SBR), discrete sidelobe clutter is generally caused by strong scattering points at the sidelobe direction in the observation scene, which is difficult to discern from moving targets as a result of its strong power and special Doppler feature. To solve the above problem, the discrete clutter determination method based on filtering response loss is proposed. Firstly, the power of the potential target is calculated after clutter suppression, and then the power loss of the potential target is obtained by giving comparison to the initial power. Finally, in accordance with the criterion that power loss of discrete sidelobe clutter is high while that of the moving target is low after clutter suppression, with which the discrete sidelobe clutter can be identified based on the adaptive threshold. Simulation results with the real measured data show the feasibility and effectiveness of the proposed method.","PeriodicalId":340004,"journal":{"name":"International Conference on Signal Processing and Machine Learning","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discrete Sidelobe Clutter Determination Method Based on Filtering Response Loss\",\"authors\":\"He Wen, Chongdi Duan, Weiwei Wang, Yu Li\",\"doi\":\"10.1145/3372806.3372812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For air moving target detection with space-based radar (SBR), discrete sidelobe clutter is generally caused by strong scattering points at the sidelobe direction in the observation scene, which is difficult to discern from moving targets as a result of its strong power and special Doppler feature. To solve the above problem, the discrete clutter determination method based on filtering response loss is proposed. Firstly, the power of the potential target is calculated after clutter suppression, and then the power loss of the potential target is obtained by giving comparison to the initial power. Finally, in accordance with the criterion that power loss of discrete sidelobe clutter is high while that of the moving target is low after clutter suppression, with which the discrete sidelobe clutter can be identified based on the adaptive threshold. Simulation results with the real measured data show the feasibility and effectiveness of the proposed method.\",\"PeriodicalId\":340004,\"journal\":{\"name\":\"International Conference on Signal Processing and Machine Learning\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Signal Processing and Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3372806.3372812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Signal Processing and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3372806.3372812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discrete Sidelobe Clutter Determination Method Based on Filtering Response Loss
For air moving target detection with space-based radar (SBR), discrete sidelobe clutter is generally caused by strong scattering points at the sidelobe direction in the observation scene, which is difficult to discern from moving targets as a result of its strong power and special Doppler feature. To solve the above problem, the discrete clutter determination method based on filtering response loss is proposed. Firstly, the power of the potential target is calculated after clutter suppression, and then the power loss of the potential target is obtained by giving comparison to the initial power. Finally, in accordance with the criterion that power loss of discrete sidelobe clutter is high while that of the moving target is low after clutter suppression, with which the discrete sidelobe clutter can be identified based on the adaptive threshold. Simulation results with the real measured data show the feasibility and effectiveness of the proposed method.