Solução das ambiguidades de linhas de bases médias e longas: aplicação no posicionamento baseado em redes

• Autor(a) principal: Silva, Crislaine Menezes da [UNESP]
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/149236; http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/05-12-2016/000874637.pdf
• topic: Computação - Matematica; Ambiguidade; Redes de computadores; Posicionamento; Calculo lambda; GPS (Programa de computador); Geometria; Sistemas de navegação global por satélite; Computer science - Mathematics

Essencial to the performance of Network RTK positioning is that a user receives and applies correction information from a network. These corrections are necessary for the user to account for the atmospheric (ionospheric and tropospheric) delays between his approximate location and the locations of the network's stations. In order to provide the most precise corrections to users, the network processing should be based on integer resolution of the carrier phase ambiguities between the network's stations. Ambiguity is called the number of complete cycles between the satellite antenna and receiver in his rst season of data collection. The ambiguities are introduced as parameters to be estimated in the observation equations. Ambiguity resolution can be divided in two steps: estimation and validation. The estimate is concerned with the calculation of the ambiguities values. O validation stage is used to infer whether the estimated value can be accepted or not. A method widely used by the international scienti c community for the estimation of integer ambiguities is the LAMBDA method. For the validation the ratio test and FF-RT may be used. The aim of this work is to investigate the resolution of ambiguities in the context of Network RTK and its implementation in FCT_RTK_Net software that was developed in an academic environment. In this thesis some experiments on resolving the ambiguities are presented, the results showed that the FF-RT validation test produces better percentage xing the ambiguities. The results also showed that ADOP is a good predictor of the success rate of ambiguities and that the detection and correction cycles slips are essential for obtaining the resolution of ambiguities