Folker Hoffmann, Hans Schily, A. Charlish, M. Ritchie, H. Griffiths
{"title":"A Rollout Based Path Planner for Emitter Localization","authors":"Folker Hoffmann, Hans Schily, A. Charlish, M. Ritchie, H. Griffiths","doi":"10.23919/fusion43075.2019.9011368","DOIUrl":null,"url":null,"abstract":"This paper explores the problem of localizing an emitter with a mobile sensor platform using noisy bearing measurements. It is assumed, that the measuring procedure requires the platform to be stationary for a certain amount of time. Therefore, there exists a trade-off between using time to take one or more measurements and moving to a more advantageous position for observing a target. Using a rollout based algorithm we optimize the time necessary until a given localization accuracy is reached and compare the performance of this algorithm with several algorithms found in literature.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22th International Conference on Information Fusion (FUSION)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/fusion43075.2019.9011368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper explores the problem of localizing an emitter with a mobile sensor platform using noisy bearing measurements. It is assumed, that the measuring procedure requires the platform to be stationary for a certain amount of time. Therefore, there exists a trade-off between using time to take one or more measurements and moving to a more advantageous position for observing a target. Using a rollout based algorithm we optimize the time necessary until a given localization accuracy is reached and compare the performance of this algorithm with several algorithms found in literature.