Automated GPS processing for global total electron content data
Automated GPS processing for global total electron content data
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DOI：
10.1007/s10291-006-0029-5
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发表时间：
2006-07-01
期刊：
影响因子：
4.9
通讯作者：
Coster, Anthea
中科院分区：
文献类型：
--
作者：
Rideout, William;Coster, Anthea
已开发了一个称为麻省理工学院全球定位系统自动处理软件包，用于将全球定位系统数据自动处理成全球总电子密度图。MAPGPS软件的目标是自动生成可靠的TEC数据，尽管还不是真实的。在成功收集数据的所有地磁条件下，使用所有现有全球定位系统接收器的观测结果。本文介绍了MAPGPS软件的体系结构。特别注意的是用于估计个人接收器偏差的算法。从GPS数据估计TEC的最大误差来源之一是确定这些未知的接收器偏差。解决接收机偏差问题的MAPGPS方法使用三种不同的方法：最小扇形、最小二乘法和零TEC。沿着详细描述了这些方法及其相关性能特征。简要比较了JPL和MAPGPS接收机偏差，并讨论了接收机偏差估计中可能存在的误差源。最后，牧歌数据库，它允许网络访问的MAPGPS TEC数据和地图，进行了说明。
A software package known as MIT Automated Processing of GPS (MAPGPS) has been developed to automate the processing of GPS data into global total electron density (TEC) maps. The goal of the MAPGPS software is to produce reliable TEC data automatically, although not yet in real time. Observations are used from all available GPS receivers during all geomagnetic conditions where data has been successfully collected. In this paper, the architecture of the MAPGPS software is described. Particular attention is given to the algorithms used to estimate the individual receiver biases. One of the largest sources of error in estimating TEC from GPS data is the determination of these unknown receiver biases. The MAPGPS approach to solving the receiver bias problem uses three different methods: minimum scalloping, least squares, and zero-TEC. These methods are described in detail, along with their relative performance characteristics. A brief comparison of the JPL and MAPGPS receiver biases is presented, and a possible remaining error source in the receiver bias estimation is discussed. Finally, the Madrigal database, which allows Web access to the MAPGPS TEC data and maps, is described.