References

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Faragher, R., 2012. Understanding the basis of the Kalman filter via a simple and intuitive derivation (lecture notes). IEEE. Signal Process. Mag., 29: 128-132.
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Maklouf, O., A. Ghila, A. Abdulla and A. Yousef, 2013. Low cost IMU-GPS integration using Kalman filtering for land vehicle navigation application. Intl. J. Electr. Rob. Electron. Commun. Eng., 7: 1-7.
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Makni, A., H. Fourati and A.Y. Kibangou, 2014. Adaptive Kalman filter for MEMS-IMU based attitude estimation under external acceleration and parsimonious use of gyroscopes. Proceedings of the 2014 International Conference on European Control (ECC), June 24-27, 2014, IEEE, Strasbourg, France, ISBN:978-3-9524269-1-3, pp: 1379-1384.

Ribeiro, M.I., 2004. Kalman and extended Kalman filters: Concept, derivation and properties. MSc Thesis, ISR-Instituto de Sistemas e Robotica, Lisbon, Portugal.

Zhang, J., G. Welch, G. Bishop and Z. Huang, 2014. A two-stage Kalman filter approach for robust and real-time power system state estimation. IEEE. Trans. Sustainable Energy, 5: 629-636.
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