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Geometric Dilution of Precision

Navigation, 1978
A graph is developed which gives geometric dilution for fixes obtained hyperbolically using information received from three stations. Only bearings from the user to the stations are needed. The approach can be characterized as oriented to the user rather than to system development and is particularly valuable in assessing station choices in redundant ...
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KNOWLEDGE-BASED METHODS FOR OPTIMUM APPROXIMATION OF GEOMETRIC DILUTION OF PRECISION

International Journal of Computational Intelligence and Applications, 2010
Global Positioning System (GPS) satellites signal processing to obtain all in view satellite measurements and to use them to find a solution and to do integrity monitoring forms a major component of the load on the receiver's processing element.
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Classifying the Geometric Dilution of Precision of GPS satellites utilizing Bayesian decision theory

Computers & Electrical Engineering, 2011
The errors resulting from satellite configuration geometry can be determined by Geometric Dilution of Precision (GDOP). Considering optimal satellite subset selection, lower GDOP value usually causes better accuracy in GPS positioning. However, GDOP computation based on complicated transformation and inversion of measurement matrices is a time ...
Morteza Saraf   +2 more
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Applying Geometric Dilution Of Precision Approximation To Adaptive Neural Network Learning For Precise Mobile Station Positioning

2018 International Conference on Machine Learning and Cybernetics (ICMLC), 2018
The geometric dilution of precision is widely used as criterion for selecting the best set of the measurement devices. Some methods had been proposed to rmd the value of the Geometric Dilution of Precision (GDOP), such as using inverse matrix to solve the linear equation. But it takes a large amount of computing time to find the optimal solution.
Chien-Sheng Chen   +4 more
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Geometric dilution of precision in Global Positioning System navigation

Journal of Guidance and Control, 1981
The evaluation of the GPS navigation performance is essentially equivalent to the computation of the diagonal terms of the geometric dilution of precision (GDOP) matrix. Certain theoretical results concerning the general properties of the GDOP matrix are obtained.
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New Characteristics of Geometric Dilution of Precision (GDOP) for Multi-GNSS Constellations

Journal of Navigation, 2014
For multi-Global Navigation Satellite System (GNSS) constellations, the Geometric Dilution of Precision (GDOP) is an important parameter utilised for the selection of satellites. This paper has derived new formulae to describe the change of GDOP. The result shows that, for GNSS single point positioning solutions, if one more satellite belonging to the ...
Yunlong Teng, Jinling Wang
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An Improved Approach for the Global Positioning System Geometric Dilution of Precision Classification

Journal of Engineering and Technology, 2013
The effect of geometry on the relationship between measurement error and position determination error is described by geometric dilution of precision (GDOP). It is illustrated that a subset with lowest GDOP will result in lowest error. Since the global positioning system (GPS) GDOP computation based on complicated transformation and inversion of ...
SeyedMahmoud Anisheh   +3 more
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Indoor node localization using geometric dilution of precision in ad-hoc sensor networks

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
In this paper, a new method for sensor node localization using geometric dilution of precision (GDOP) is described. The proposed methods are not constrained by fixed geometry. They can be used for robust node localization under both LOS and NLOS conditions in an ad-hoc sensor network.
Sudhir Kumar 0002, Rajesh M. Hegde
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Comments on "Reducing geometric dilution of precision using ridge regression"

IEEE Transactions on Aerospace and Electronic Systems, 1997
The author comments on an article by R. Kelly, see ibid., (Jan. 1990). The comments are about the author's procedure regarding finding aircraft flying path, using two distance measuring equipments (DMEs). He suggests that two DMEs are not sufficient.
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Resilient back-propagation neural network for approximation weighted geometric dilution of precision

2010 3rd International Conference on Computer Science and Information Technology, 2010
The conventional matrix inversion method for weighted geometric dilution of precision (WGDOP) calculation has a large amount of operation. This paper employs an artificial neural network approach, namely, the resilient back-propagation (Rprop) method to implement WGDOP.
null Chie   +3 more
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