{"title":"卡尔曼滤波对CGGTTS格式GPS数据时传影响的研究","authors":"P. Thorat, Prabal Banerjee","doi":"10.23919/URSI-RCRS56822.2022.10118486","DOIUrl":null,"url":null,"abstract":"This paper applies a Kalman Filter on GPS data to study its efficacy in time transfer. This exercise has been carried out with the help a particular set of data as a case study to achieve the objective. This has been elaborated in this paper.","PeriodicalId":229743,"journal":{"name":"2022 URSI Regional Conference on Radio Science (USRI-RCRS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on the Impact of Kalman Filtering on CGGTTS formatted GPS data for Time Transfer\",\"authors\":\"P. Thorat, Prabal Banerjee\",\"doi\":\"10.23919/URSI-RCRS56822.2022.10118486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper applies a Kalman Filter on GPS data to study its efficacy in time transfer. This exercise has been carried out with the help a particular set of data as a case study to achieve the objective. This has been elaborated in this paper.\",\"PeriodicalId\":229743,\"journal\":{\"name\":\"2022 URSI Regional Conference on Radio Science (USRI-RCRS)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 URSI Regional Conference on Radio Science (USRI-RCRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSI-RCRS56822.2022.10118486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 URSI Regional Conference on Radio Science (USRI-RCRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSI-RCRS56822.2022.10118486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on the Impact of Kalman Filtering on CGGTTS formatted GPS data for Time Transfer
This paper applies a Kalman Filter on GPS data to study its efficacy in time transfer. This exercise has been carried out with the help a particular set of data as a case study to achieve the objective. This has been elaborated in this paper.