{"title":"基于乘法的ISAR运动参数估计","authors":"Stefan Brisken, J. Worms","doi":"10.1109/MRRS.2011.6053632","DOIUrl":null,"url":null,"abstract":"One of the main difficulties in Inverse Synthetic Aperture Radar imagery of a maneuvering target is the estimation of its motion parameters from the radar data. In this paper we show how the geometric features of a multistatic radar system can be used to obtain both translational and rotational motion with a multilateration approach. While many monostatic approaches in open literature attempt to estimate parameters for a pre-assumed form of motion, our approach aims to be as general as possible. Capabilities and limitations for several implementation techniques of the multilateration method are examined and illustrated in simulations.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"ISAR motion parameter estimation via multilateration\",\"authors\":\"Stefan Brisken, J. Worms\",\"doi\":\"10.1109/MRRS.2011.6053632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main difficulties in Inverse Synthetic Aperture Radar imagery of a maneuvering target is the estimation of its motion parameters from the radar data. In this paper we show how the geometric features of a multistatic radar system can be used to obtain both translational and rotational motion with a multilateration approach. While many monostatic approaches in open literature attempt to estimate parameters for a pre-assumed form of motion, our approach aims to be as general as possible. Capabilities and limitations for several implementation techniques of the multilateration method are examined and illustrated in simulations.\",\"PeriodicalId\":424165,\"journal\":{\"name\":\"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MRRS.2011.6053632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MRRS.2011.6053632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ISAR motion parameter estimation via multilateration
One of the main difficulties in Inverse Synthetic Aperture Radar imagery of a maneuvering target is the estimation of its motion parameters from the radar data. In this paper we show how the geometric features of a multistatic radar system can be used to obtain both translational and rotational motion with a multilateration approach. While many monostatic approaches in open literature attempt to estimate parameters for a pre-assumed form of motion, our approach aims to be as general as possible. Capabilities and limitations for several implementation techniques of the multilateration method are examined and illustrated in simulations.