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MEMS-INS/GPS DATA FUSION WITH ANFIS FOR THE PREDICTION OF THE NAVIGATION SOLUTION ERRORS DURING GPS OUTAGES

Teodor Lucian Grigorie, Dragos George Sandu, Costinel Laurentiu Corcau

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.051View metrics

Abstract

The paper presents a MEMS-INS/GPS data fusion algorithm based on an adaptive neuro fuzzy inference system for the prediction of the navigation solution errors during GPS outages. The study was performed during the second stage of a research project related to the structural design of a data fusion intelligent algorithm based on an adaptive neuro-fuzzy inference system and Kalman filtering, for the prediction of the positioning errors during GPS signal outages. In this stage, the project research team targeted to realize the structural design of the algorithm and to demonstrate the functionality of this mechanism at the level of numerical simulation; in the next stage of the project the algorithm will be tuned with the experimental data acquired with sensing platforms equipped with GPS receivers and Inertial Measurement Units (IMU) based MEMS sensors. During the paper sections are exposed the structural mechanism of the MEMS-INS/GPS integrated system, the training procedure used for the fuzzy inference system and the testing results.

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Publication details

Title
MEMS-INS/GPS DATA FUSION WITH ANFIS FOR THE PREDICTION OF THE NAVIGATION SOLUTION ERRORS DURING GPS OUTAGES
Authors
Teodor Lucian Grigorie, Dragos George Sandu, Costinel Laurentiu Corcau
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
405-412
SWS Citekey
Grigorie20179405412
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
Inertial navigationMEMS inertial sensorsGPSdata fusionANFISINS/GPS integration.
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