{"title":"惯性导航中尺寸效应的最小二乘方法","authors":"Sharon Eilon","doi":"10.1109/PLANS.2014.6851438","DOIUrl":null,"url":null,"abstract":"This paper deals with the size effect problem in high-end Inertial Navigation Systems (INS). A focus is given to velocity errors in the geographical frame, which endure even after dynamic angular conditions are terminated. A least squares (LS) approach is taken to derive an algorithm for size effect compensation. The suggested algorithm implementation is based on low computation rate and does not involve highsampled increments. A performance analysis of the algorithm is presented, both in simulation and in real-life systems' tests.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A least squares approach to size effect in inertial navigation\",\"authors\":\"Sharon Eilon\",\"doi\":\"10.1109/PLANS.2014.6851438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the size effect problem in high-end Inertial Navigation Systems (INS). A focus is given to velocity errors in the geographical frame, which endure even after dynamic angular conditions are terminated. A least squares (LS) approach is taken to derive an algorithm for size effect compensation. The suggested algorithm implementation is based on low computation rate and does not involve highsampled increments. A performance analysis of the algorithm is presented, both in simulation and in real-life systems' tests.\",\"PeriodicalId\":371808,\"journal\":{\"name\":\"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS.2014.6851438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.2014.6851438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A least squares approach to size effect in inertial navigation
This paper deals with the size effect problem in high-end Inertial Navigation Systems (INS). A focus is given to velocity errors in the geographical frame, which endure even after dynamic angular conditions are terminated. A least squares (LS) approach is taken to derive an algorithm for size effect compensation. The suggested algorithm implementation is based on low computation rate and does not involve highsampled increments. A performance analysis of the algorithm is presented, both in simulation and in real-life systems' tests.
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