{"title":"一种用于航天器姿态和轨道确定的高斯确定性平滑和预测方法","authors":"M.S. Hodgart, P. Tortora, N. Morrison","doi":"10.1109/NAECON.2000.894980","DOIUrl":null,"url":null,"abstract":"Some theory is presented, with results from simulation, that identify a filter/estimator in the style of the Kalman filter. It promises some significant advantages relative to the usual filter in typical satellite (and other) applications. We call it a fading Gaussian deterministic filter and outline its main features.","PeriodicalId":171131,"journal":{"name":"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Gaussian deterministic approach to smoothing and prediction for application to spacecraft attitude and orbit determination\",\"authors\":\"M.S. Hodgart, P. Tortora, N. Morrison\",\"doi\":\"10.1109/NAECON.2000.894980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some theory is presented, with results from simulation, that identify a filter/estimator in the style of the Kalman filter. It promises some significant advantages relative to the usual filter in typical satellite (and other) applications. We call it a fading Gaussian deterministic filter and outline its main features.\",\"PeriodicalId\":171131,\"journal\":{\"name\":\"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2000.894980\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2000.894980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Gaussian deterministic approach to smoothing and prediction for application to spacecraft attitude and orbit determination
Some theory is presented, with results from simulation, that identify a filter/estimator in the style of the Kalman filter. It promises some significant advantages relative to the usual filter in typical satellite (and other) applications. We call it a fading Gaussian deterministic filter and outline its main features.