{"title":"Investigation of variable discretization resolution for CD-EKFs in space object tracking","authors":"Ashiv Dhondea, A. Mishra, M. Inggs","doi":"10.1109/ICCCSP.2017.7944067","DOIUrl":null,"url":null,"abstract":"Space object (satellite or space debris) tracking has been identified as a key component of Space Situational Awareness. Space object tracking is a continuous-discrete filtering problem. Conventional extended Kahnan filter (EKF) and un-scented Kalman filter (UKF) methods are formulated for discrete-discrete filtering problems. New versions of the EKF have been engineered recently for continuous-discrete filtering problems. We first discuss the dynamic and observation model of the space object tracking problem on which we later on test 5 filters in the CD-EKF framework. Our results show that for the space object tracking problem with radar, solutions which discretize the Langevin equation give results comparable to Moment-Matching based EKFs at very high discretization resolutions.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCSP.2017.7944067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Space object (satellite or space debris) tracking has been identified as a key component of Space Situational Awareness. Space object tracking is a continuous-discrete filtering problem. Conventional extended Kahnan filter (EKF) and un-scented Kalman filter (UKF) methods are formulated for discrete-discrete filtering problems. New versions of the EKF have been engineered recently for continuous-discrete filtering problems. We first discuss the dynamic and observation model of the space object tracking problem on which we later on test 5 filters in the CD-EKF framework. Our results show that for the space object tracking problem with radar, solutions which discretize the Langevin equation give results comparable to Moment-Matching based EKFs at very high discretization resolutions.