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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

GPS Satellite Kinematic Relative Positioning: Analyzing and Improving the Functional Mathematical Model Using Wavelets

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de Souza, Eniuce Menezes [1] ; Galera Monico, Joao Francisco [2] ; Pagamisse, Aylton [3]
Total Authors: 3
[1] Maringa State Univ UEM, Dept Stat, Maringa, Parana - Brazil
[2] FCT UNESP, Cartog Dept, Presidente Prudente - Brazil
[3] FCT UNESP, Dept Math, Presidente Prudente - Brazil
Total Affiliations: 3
Document type: Journal article
Web of Science Citations: 2

Although GPS kinematic relative positioning can provide high accuracy, GPS observables, like any other kind of measurement, are not free of errors. Indeed, they have several kinds of errors. In this paper, we show how to construct a functional mathematical model within the context of a Kalman Filter in order to eliminate most of these errors. Furthermore, we discuss how the multipath effect, a kind of error not modeled in the functional model, can be corrected using the proposed wavelet method. The behavior of the double difference functional model in the kinematic mode is also demonstrated and analyzed aiming to provide better insight into the problem. The results obtained from the multipath experiments were very promising and are presented here. Copyright (C) 2009 Eniuce Menezes de Souza et al. (AU)

FAPESP's process: 06/04008-2 - GNSS: investigations and applications in geodetic positioning, in studies related to the atmosphere and precision agriculture
Grantee:Joao Francisco Galera Monico
Support type: Research Projects - Thematic Grants