{"title":"旋转叶片成像的正交匹配追踪与匹配滤波技术","authors":"R. Melino, S. Kodituwakku, H. Tran","doi":"10.1109/RADARCONF.2015.7411844","DOIUrl":null,"url":null,"abstract":"We report on a novel technique for the imaging of fast rotating blades such as those of a helicopter rotor, based on Orthogonal Matching Pursuit (OMP) technique and matched j filtering, as well as the use of a tilted-wire scatterer model, rather ; than the traditional point scatterer model. Parameters of the model atoms may also provide new efficient metrics for automatic target classification of targets with fast rotating blades.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Orthogonal matching pursuit and matched filter techniques for the imaging of rotating blades\",\"authors\":\"R. Melino, S. Kodituwakku, H. Tran\",\"doi\":\"10.1109/RADARCONF.2015.7411844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report on a novel technique for the imaging of fast rotating blades such as those of a helicopter rotor, based on Orthogonal Matching Pursuit (OMP) technique and matched j filtering, as well as the use of a tilted-wire scatterer model, rather ; than the traditional point scatterer model. Parameters of the model atoms may also provide new efficient metrics for automatic target classification of targets with fast rotating blades.\",\"PeriodicalId\":267194,\"journal\":{\"name\":\"2015 IEEE Radar Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADARCONF.2015.7411844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADARCONF.2015.7411844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Orthogonal matching pursuit and matched filter techniques for the imaging of rotating blades
We report on a novel technique for the imaging of fast rotating blades such as those of a helicopter rotor, based on Orthogonal Matching Pursuit (OMP) technique and matched j filtering, as well as the use of a tilted-wire scatterer model, rather ; than the traditional point scatterer model. Parameters of the model atoms may also provide new efficient metrics for automatic target classification of targets with fast rotating blades.