WSEAS Transactions on Environment and Development

Print ISSN: 1790-5079
E-ISSN: 2224-3496

Volume 13, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 13, 2017

Analyzing the Performance of a GPS Device

AUTHORS: M. Filomena Teodoro, Fernando M. Goncalves, Anacleto Correia

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ABSTRACT: The insucess of proceeded baselines of considerable length, when the ionospheric and tropospheric delays are not properly modeled, is a serious problem. In order to minimize such problem, some models have been proposed to minimize the biases. For example, the combination of L1 and L2 carrier-phase can vanish 98% of the first-order ionospheric biases. Generally, the LGO device, the equipment under evaluation, uses this solution to the majority of the baselines considered in our work. But it is not enough, the tropospheric bias still needs to be minimized or vanished. The objective of this study, is to verify and quantify the improvements, by the evaluation of the rate of successful processed baselines when an improved tropospheric bias mitigation strategy is used in opposition to a tropospheric bias mitigation approach. LGO equipment uses as a priori tropospheric model the simplified Hopfield model. The main aim of the investigations presented in this work was to determine the increase, or not, in the rate of baselines successfully produced by adopting an advanced tropospheric bias mitigation strategy as opposed to a simpler one. In the first case, LGO uses an improved strategy with a zenith tropospheric scale factor per station. We built some models by general least squares (GLM) to evaluate the performance of the equipment. We are aware that 1D and 2D present different behaviors, we analyzed both cases individually with each strategy. In this article, we present such analysis for 1D case.

KEYWORDS: Baselines, Bias, General Least Squares, Performance, GPS equipment


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WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #17, pp. 150-157

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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