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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 r...

The paper presents a prediction algorithm for the low rate GPS data in order to fuse them with the high rate Inertial Navigation System (INS) data; a major shortcoming in the integration process of the two navigation systems is due to the significant difference in theirs data rates in the reading processes. The algorithm is based on a smart mechanism based on adaptive neuro-fuzzy inference systems (ANFIS) concept, and includes an adaptive network of fuzzy inference systems. Under the form of a five layer feed-forw...