{"title":"基于多个双基地测量的定位和速度估计","authors":"Sebastian Woischneck, D. Fränken","doi":"10.1109/MFI49285.2020.9235256","DOIUrl":null,"url":null,"abstract":"This paper discusses algorithms that can be used to estimate the position and possibly in addition the velocity of an object by means of bistatic measurements. Concerning position-only estimation based on bistatic range measurements, improved versions of an approximate maximum-likelihood estimator will be introduced and compared with methods known from literature. The new estimators will then be extended to also estimate velocity based on additional range-rate measurements. Simulation results confirm that the proposed estimators yield errors close to the Cramer-Rao lower bound.","PeriodicalId":446154,"journal":{"name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"359 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Localization and velocity estimation based on multiple bistatic measurements\",\"authors\":\"Sebastian Woischneck, D. Fränken\",\"doi\":\"10.1109/MFI49285.2020.9235256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses algorithms that can be used to estimate the position and possibly in addition the velocity of an object by means of bistatic measurements. Concerning position-only estimation based on bistatic range measurements, improved versions of an approximate maximum-likelihood estimator will be introduced and compared with methods known from literature. The new estimators will then be extended to also estimate velocity based on additional range-rate measurements. Simulation results confirm that the proposed estimators yield errors close to the Cramer-Rao lower bound.\",\"PeriodicalId\":446154,\"journal\":{\"name\":\"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"volume\":\"359 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI49285.2020.9235256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI49285.2020.9235256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Localization and velocity estimation based on multiple bistatic measurements
This paper discusses algorithms that can be used to estimate the position and possibly in addition the velocity of an object by means of bistatic measurements. Concerning position-only estimation based on bistatic range measurements, improved versions of an approximate maximum-likelihood estimator will be introduced and compared with methods known from literature. The new estimators will then be extended to also estimate velocity based on additional range-rate measurements. Simulation results confirm that the proposed estimators yield errors close to the Cramer-Rao lower bound.
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