{"title":"H∞滤波器与ekf在GPS动态定位中的应用比较","authors":"Chen You-rong, Shao Xiao-yu, Li Jie, Xi Xiao-li","doi":"10.1109/NAECON.2008.4806560","DOIUrl":null,"url":null,"abstract":"A Hinfin filter based on GPS dynamic locating method is put forward in this paper. The proposed method is able to decrease the current acceleration model error. Some examples show that the method can perform better in GPS dynamic locating than EKF for less computation consumption and higher locating accuracy.","PeriodicalId":254758,"journal":{"name":"2008 IEEE National Aerospace and Electronics Conference","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"H∞ filter compared with EKFapplied in GPS dyanmic locating\",\"authors\":\"Chen You-rong, Shao Xiao-yu, Li Jie, Xi Xiao-li\",\"doi\":\"10.1109/NAECON.2008.4806560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Hinfin filter based on GPS dynamic locating method is put forward in this paper. The proposed method is able to decrease the current acceleration model error. Some examples show that the method can perform better in GPS dynamic locating than EKF for less computation consumption and higher locating accuracy.\",\"PeriodicalId\":254758,\"journal\":{\"name\":\"2008 IEEE National Aerospace and Electronics Conference\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE National Aerospace and Electronics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2008.4806560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE National Aerospace and Electronics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2008.4806560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
H∞ filter compared with EKFapplied in GPS dyanmic locating
A Hinfin filter based on GPS dynamic locating method is put forward in this paper. The proposed method is able to decrease the current acceleration model error. Some examples show that the method can perform better in GPS dynamic locating than EKF for less computation consumption and higher locating accuracy.