文章基本信息

标题：MODELAGEM EM TEMPO REAL DO ERRO SISTEMÁTICO DAS OBSERVÁVEIS GPS DEVIDO À IONOSFERA
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作者：CLAUDINEI RODRIGUES DE AGUIAR ; PAULO DE OLIVEIRA CAMARGO
期刊名称：Boletim de Ciências Geodésicas
印刷版ISSN：1982-2170
出版年度：2006
卷号：12
期号：1
语种：Portuguese
出版社：Universidade Federal do Paraná-UFPR
摘要：Single frequency GPS receivers have been many used in GPS surveys. Among the several applications, one can mention those that are to obtain the receiver's antenna coordinates in real time. One of the main error sources to these applications is the ionosphere systematic error. In the FCT/UNESP a regional ionosphere model (Mod_Ion) was developed. It has been implemented to execute after collecting of GPS data. At real time applications two improvements in the Mod_Ion were introduced, consisting of an alteration of the function of modeling and implementation of the Kalman Filter. The results of the experiments showed that the modifications were the most effective in the ionosphere systematic effects corrections, providing a improvement in the accuracy of point positioning, of 90,75%, in period of the highest ionosphere activity.
其他摘要：Single frequency GPS receivers have been many used in GPS surveys. Among the several applications, one can mention those that are to obtain the receiver's antenna coordinates in real time. One of the main error sources to these applications is the ionosphere systematic error. In the FCT/UNESP a regional ionosphere model (Mod_Ion) was developed. It has been implemented to execute after collecting of GPS data. At real time applications two improvements in the Mod_Ion were introduced, consisting of an alteration of the function of modeling and implementation of the Kalman Filter. The results of the experiments showed that the modifications were the most effective in the ionosphere systematic effects corrections, providing a improvement in the accuracy of point positioning, of 90,75%, in period of the highest ionosphere activity.
关键词：Ionosfera;GPS;Pseudodistância;Filtro de Kalman;Ionosphere;GPS;Pseudorange;Kalman Filter