{"title":"IMM自适应估计在GPS定位中的应用","authors":"Genshe Chen, M. Harigae","doi":"10.1109/SICE.2001.977810","DOIUrl":null,"url":null,"abstract":"The interacting multiple model (IMM) adaptive estimator is used as a means of improving the GPS receiver positioning performance in various dynamic conditions. Each Kalman filter is considered to be locally valid, applicable over a region of the working space defined by the filter conditioning value. Three dynamic models correspond to the stationary, low dynamic, and high dynamic working space. A numerical study is used to demonstrate the viability of the concept. In comparison with previous methodology, the new, IMM based method leads to an improvement in GPS position accuracy.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Using IMM adaptive estimator in GPS positioning\",\"authors\":\"Genshe Chen, M. Harigae\",\"doi\":\"10.1109/SICE.2001.977810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The interacting multiple model (IMM) adaptive estimator is used as a means of improving the GPS receiver positioning performance in various dynamic conditions. Each Kalman filter is considered to be locally valid, applicable over a region of the working space defined by the filter conditioning value. Three dynamic models correspond to the stationary, low dynamic, and high dynamic working space. A numerical study is used to demonstrate the viability of the concept. In comparison with previous methodology, the new, IMM based method leads to an improvement in GPS position accuracy.\",\"PeriodicalId\":415046,\"journal\":{\"name\":\"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2001.977810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2001.977810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The interacting multiple model (IMM) adaptive estimator is used as a means of improving the GPS receiver positioning performance in various dynamic conditions. Each Kalman filter is considered to be locally valid, applicable over a region of the working space defined by the filter conditioning value. Three dynamic models correspond to the stationary, low dynamic, and high dynamic working space. A numerical study is used to demonstrate the viability of the concept. In comparison with previous methodology, the new, IMM based method leads to an improvement in GPS position accuracy.