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Rapid and Precise GLONASS GDOP Approximation using Neural Networks
Wireless Personal Communications, 2014Russian global navigation satellite system (GLONASS) provides civilian and military users three-dimensional position determination and navigation services as same as US global positioning system. Geometric dilution of precision (GDOP) provides a simple interpretation of positioning precision.
Amir Tabatabaei, Mohammad Reza Mosavi
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GDOP, Ridge Regression and the Kalman Filter
Journal of Navigation, 1990Multicollinearity and its effect on parameter estimators such as the Kalman filter is analysed using the navigation application as a special example. All position-fix navigation systems suffer loss of accuracy when their navigation landmarks are nearly collinear. Nearly collinear measurement geometry is termed the geometric dilution of position (GDOP).
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The Mathematical Expectation of GDOP and its Application
2013Along with the development of Global Navigation Satellite System (GNSS) and the deepening of research on Interoperability, more navigation satellites in space are able to provide Position Velocity and Time (PVT) service for users. Although added visible satellite number leads a better Geometric Dilution of Precision (GDOP), there is not a conclusion ...
Tao Han +4 more
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Mitigating unbalanced GDoP effects in range-based vehicular Cooperative Localization
2017 IEEE International Conference on Communications Workshops (ICC Workshops), 2017In the context of Vehicular Ad Hoc NETworks (VANETs), we investigate the problem of range-based Cooperative Localization (CLoc), which combines absolute position information from on-board Global Navigation Satellite System (GNSS) with relative distance measurements to fellow mobile vehicles, for instance based on Impulse Radio - Ultra WideBand (IR-UWB).
Gia-Minh Hoang +3 more
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Geometry Influence on GDOP in TOA and AOA Positioning Systems
2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing, 2010Geometric dilution of precision (GDOP) is defined as the ratio of the root-mean-square position determination error to the root-mean-square measurement error. Based on the Cramer-Rao lower bound (CRLB), new mathematical expressions of GDOP are presented in Time-of-Arrival (TOA) and Angle-of-Arrival (AOA) positioning systems in this paper.
Xiwu Lv, Kaihua Liu, Po Hu
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The Training Method of General Regression Neural Network for GDOP Approximation
Applied Mechanics and Materials, 2013Aimed at the problem of real-time and accurate Geometry Dilution of Precision (GDOP) approximation, a new method using general regression neural network (GRNN) was proposed firstly, and the training samples selection and normalization method was studied by using spectrum analysis. The computation results show that the symmetrical constellation needs 24
Xian Li +3 more
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Tighter GDOP Bounds and their Use in Satellite Subset Selection
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation, 2019GNSS receivers convert the measured pseudoranges from the visible and viable GNSS satellites into an estimate of the position and clock offset of the receiver. The accuracy of the resulting solution can be described statistically by its error covariance matrix; a common scalar reduction of this covariance that highlights the impact of satellite ...
Swaszek, Peter F. +3 more
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Neural network-based GPS GDOP approximation and classification
GPS Solutions, 2006In this paper, the neural network (NN)-based navigation satellite subset selection is presented. The approach is based on approximation or classification of the satellite geometry dilution of precision (GDOP) factors utilizing the NN approach. Without matrix inversion required, the NN-based approach is capable of evaluating all subsets of satellites ...
Dah-Jing Jwo, Chien-Cheng Lai
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Analysis of GDOP based on GEO satellite
2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST), 2023Seda Kartal +5 more
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A Comparative Study of Target Localization Methods for Large GDOP
2007In this chapter, we present a comparative study on two algorithms to localize ground targets using Unmanned Aerial Vehicles (UAVs): an angle-of-arrival (AOA) emitter-location algorithm using triangulation techniques and an angle-rate algorithm. In particular, we focus on the performance of the two algorithms locating targets when a sensor platform is ...
Harold D. Gilbert +2 more
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