Through the discussions on the advantages and disadvantages of inertial navigation system(INS)and global positioning system(GPS)for aircraft
and the application of Kalman filtering method in the integrated positioning system
GPS/INS integrated navigation system
a data fusion method based on neural network is proposed. The neural network framework of the integrated navigation system is a single hidden layer three-layered neural network with 4 input/output neurons
and the number of hidden layer neurons based on 256 training samples and obtained using empiric formula is 8
and mathematical models have been established for inertial navigation system and data fusion. Training and simulation were made with this neural network using the neural network training program compiled with MATLAB
and experimental results indicate that the integrated navigation system has a longitude error of 9 m
and a latitude error of 8 m
and in comparison with separate GPS and INS
the accuracy of integrated GPS/INS has been improved.
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references
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