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MEMS-INS/GPS DATA FUSION WITH ANFIS FOR THE PREDICTION OF THE NAVIGATION SOLUTION ERRORS DURING GPS OUTAGES
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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References12
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Number of times cited according to Crossref: 1
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