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Title: MEMS-INS/GPS DATA FUSION WITH ANFIS FOR THE PREDICTION OF THE NAVIGATION SOLUTION ERRORS DURING GPS OUTAGES
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MEMS-INS/GPS DATA FUSION WITH ANFIS FOR THE PREDICTION OF THE NAVIGATION SOLUTION ERRORS DURING GPS OUTAGES
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1314-2704
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English
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17
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22
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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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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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405-412
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29 June - 5 July, 2017
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website
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cdrom
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3124
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Inertial navigation; MEMS inertial sensors; GPS; data fusion; ANFIS; INS/GPS integration.
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