文章基本信息

标题：Kalman filter for gps data preprocessing
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作者：Barooru Seetha M. Malleswari ; I.V. MuraliKrishna ; K. Lal Kishore 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI-2/C43
出版社：Copernicus Publications
摘要：This paper focuses on modeling of errors like ionospheric delays, atmospheric delays Tropospheric delays, Multipath effects and dilution of precision etc., affecting the GPS signals as they travel from satellite to user on Earth. As these errors degrade the accuracy of GPS position, an attempt is made to improve the accuracy in locating the GPS receiver by filtering the range measurements. This study emphasizes the coordinate conversion between World Geodetic System (WGS - 84) and Universal Transverse Mercator (UTM) using single frequency ML-250 hand held GPS receiver and smoothening of these coordinates using Kalman filter. A recursive filtering technique, Kalman filter is used for greater accuracy in estimating the position of user by considering the initial state of the system, statistics of system noise and measurement errors from sensor noise measurements. The results of proposed Kalman filter technique give better accuracy with more consistency and are found superior to the standard one
关键词：GPS; Datum conversion; Kalman filter; Recursive algorithm; Error ; covariance; Measurement noise