Intelligent inertial navigation system and global positioning system navigator based on artificial neural network

Abstract EN

He integration of Global positioning system (GPS) and Inertial Navigation System (INS) are continuously gaining interests in many positioning and navigation applications.

Both systems have their unique features and shortcomings.

Their integration offers systems that overcome each of their drawbacks and maximize each of their benefits.

An INS/GPS integration method based on Artificial Neural Networks (ANNs) to fuse INS measurements and GPS measurements has been suggested.

It is also provide high performance INS / GPS integration with accurate prediction for position and velocity components during GPS signal absence.

Thus the integration of the two systems presents a number of advantages and overcomes each systems inadequacy.

An ANN was adopted in this paper using position and velocity update architectures and utilizing the window based weight updating strategy to updates the navigation knowledge in the proposed INS / GPS integration system and improve the limitation of traditional weight updating strategy using two data test IMU systems.