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Author Asadian, A. ♦ Moshiri, B. ♦ Rezaie, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Intelligent networks ♦ Filtering ♦ Neural networks ♦ Inertial navigation ♦ Satellite navigation systems ♦ Fuzzy neural networks ♦ Robustness ♦ Kalman filters ♦ Computational intelligence ♦ Global Positioning System
Abstract Most integrated strapdown inertial navigation systems (SDINS) and Global Positioning Systems (GPS) have been implemented using the conventional method of Kalman filtering with its drawbacks related to the requirement for an accurate predefined model for the whole system and existence of at least four satellites in the vehicle's sight of view. In this article three well-known intelligent approaches in navigation literature will be assessed on a critical index called satellite signal outage, and robustness to this circumstance and computational burden of the algorithms will be contrasted. All networks are trained during the availability of GPS signal to map the error between the GPS and the SDINS. Then they will be employed to predict the error of the SDINS position components during GPS signal blockage. These approaches include RBF and extended neural networks as proposed neural solutions and neuro-fuzzy network as a powerful and applicable intelligent tool in engineering applications.
Description Author affiliation: Univ. of Tehran, Tehran (Asadian, A.; Moshiri, B.; Rezaie, J.)
ISBN 9781424418404
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-11-18
Publisher Place Dubai
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.85 MB
Page Count 5
Starting Page 46
Ending Page 50


Source: IEEE Xplore Digital Library