FILTERING TECHNIQUES APPLIED ON RAW CARRIER PHASE FOR GPS DETECTING SMALL DYNAMIC DISPLACEMENTS


Autoria(s): Larocca, Ana Paula Camargo; Schaal, Ricardo Ernesto
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

17/04/2012

17/04/2012

2010

Resumo

This work is part of a research under construction since 2000, in which the main objective is to measure small dynamic displacements by using L1 GPS receivers. A very sensible way to detect millimetric periodic displacements is based on the Phase Residual Method (PRM). This method is based on the frequency domain analysis of the phase residuals resulted from the L1 double difference static data processing of two satellites in almost orthogonal elevation angle. In this article, it is proposed to obtain the phase residuals directly from the raw phase observable collected in a short baseline during a limited time span, in lieu of obtaining the residual data file from regular GPS processing programs which not always allow the choice of the aimed satellites. In order to improve the ability to detect millimetric oscillations, two filtering techniques are introduced. One is auto-correlation which reduces the phase noise with random time behavior. The other is the running mean to separate low frequency from the high frequency phase sources. Two trials have been carried out to verify the proposed method and filtering techniques. One simulates a 2.5 millimeter vertical antenna displacement and the second uses the GPS data collected during a bridge load test. The results have shown a good consistency to detect millimetric oscillations.

Identificador

BOLETIM DE CIENCIAS GEODESICAS, v.16, n.1, p.177-188, 2010

1413-4853

http://producao.usp.br/handle/BDPI/14720

http://ojs.c3sl.ufpr.br/ojs2/index.php/bcg/article/view/17251/11357

Idioma(s)

eng

Publicador

UNIV FEDERAL PARANA, CENTRO POLITECNICO

Relação

Boletim de Ciencias Geodesicas

Direitos

openAccess

Copyright UNIV FEDERAL PARANA, CENTRO POLITECNICO

Palavras-Chave #Monitoring of Structures #Bridges #Carrier Phase #GPS #Filtering Techniques #Geochemistry & Geophysics #Remote Sensing
Tipo

article

original article

publishedVersion