GPS GDOP classification via improved neural network trainings and principal component analysis

Geometric dilution of precision (GDOP) is an engineering expression that denotes how well the constellation of global positioning system (GPS) satellites is organised geometrically. In the analysis of received signals, it is often essential to invert and transform the data matrices. This requires tr...

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Bibliographic Details
Published in:	International journal of electronics Vol. 101; no. 9; pp. 1300 - 1313
Main Authors:	Azami, Hamed, Sanei, Saeid
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.09.2014 Taylor & Francis LLC
Subjects:	Algorithms Back propagation Classification Computer simulation Design engineering Global Positioning System Global positioning systems GPS GPS GDOP Levenberg-Marquardt (LM) algorithm modified LM algorithm neural network Neural networks one-step secant method Principal component analysis Principal components analysis quasi-Newton method resilient back propagation Satellite navigation systems Satellites scaled conjugate gradient algorithm Training
ISSN:	0020-7217, 1362-3060
Online Access:	Get full text
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