{"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}
引用次数: 2
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.
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