Brumback, B.D. and Srinath, M.A. (1987). Chi-square test for fault-detection in Kalman filter. IEEE Transactions On Automatic Control, 32(6), 552–554.
Chang, G., Xu, J. and Chang, L. (2012a). New Kind of Robust Nonlinear Kalman Filter. Journal of Nanjing University of Aeronautics & Astronautics, 43(6), 754–759.
Chang, L., Hu, B. and Chang, G. (2013). Robust derivative-free Kalman filter based on Huber's M-estimation methodology. Journal of Process Control, 23, 1555–1561.
Chang, L., Hu, B. and Chang, G. (2012b). Huber-based novel robust unscented Kalman filter. IET Science Measurement and Technology, 6 (6), 502–509.
Chen, Y. and Yuan, J. (2009). An improved robust H∞ multiple fading fault-tolerant filtering algorithm for INS/GPS Integrated navigation. Journal of Astronautics, 30(3), 930–936.
Da, R. (1994). Failure detection of dynamical systems with the state chi2 square test. Journal of Guidance, Control and Dynamics, 17(2), 271–277.
Da, R. and Lin, C.F. (1995). A new failure detection approach and its application to GPS autonomous integrity monitoring. IEEE Transactions on Aerospace and Electronic Systems, 31(1), 499–506.
Huber, P.J. and Ronchetti, E.M. (2009). Robust Statistics (Second Edition). Wiley, USA9.
IXBLUE Inc. (2008). PHINS. User Guide, General Introduction.
Jin, H. and Zhang, H. (1997). Some problems of fault detection of Eigen structure assignment. Journal of Beijing University of Aeronautics and Astronautics, 2(6), 778–782.
Li, Xu. and Zhang, W. (2010). Reliable integrated navigation system based on adaptive fuzzy dederated Kalman filter for automated vehicles. Journal of Automobile Engineering, 224, 327–346.
Liu, J., Bie, X., Ding, C. and Jiang, Y. (2009). Design of fault diagnosis on combinatorial navigation system based on optical fibre SINS/GPS. Journal of System Simulation, 21(15), 4845–4849.
Liu, J., Li, D. and Xiong, Z. (2009). Research on improved residual Chi-square fault detection method for federated unscented Kalman filter. Journal of Scientific Instruments, 30(12), 2568–2573.
Qian, H. (2004). Research on Fault Diagnosis and Tolerant Technology and its Application to ntegrated Navigation System. Harbin Engineering University.
Qian, H. and Wang, W. (2009). Application of Improved Genetic BP Network in Inertial Navigation Fault Diagnosis. Navigation of China, 32(1), 6–9.
Qian, H., Jiang, B. and Xia, Q. (2009). The fault diagnosis of integrated navigation system based on LM algorithm. Shipbuilding of China, 50(4), 102–108.
Qin, Y., Zhang, H. and Wang, S. (2012). The Principle of Kalman Filter and integrated navigation. Northwestern Polytechnical University Press: Xi'an, China, 229–251.
Qiu, K., Wu, X., Wei, R., Zhang, Z. and Chen, T. (2005). Application conditions of state chi-square test based on Kalman filter for fault detection. Control and Decision, 20(11), 1296–1299.
Wang, H. (2013). Some Robust Estimation Methods and Application Examples of Linear Regression Models. Shandong University.
Yang, B., Qin, Y. and Chai, Y. (2006). A method for fault detection and isolation in the integrated navigation system for UAV. Measurement Science and Technology, 2006 (17), 1522–1528.
Zhang, T. and Xu, X. (2012). A new method of seamless land navigation for GPS/INS integrated system. Measurement, 45(4), 691–701.
Zhang, X., and Pang, X. (2005). M-estimate Based Kalman Filter with Immunity to Outliers. Information and Electronic Engineering, 3(2), 114–117.
Zhao, X., Zhang, J., Liu, Z., Ma, L. and Wang, S. (2013). Fault diagnosis method based on residual chi-square assisted by adaptive filter for navigation system. Journal of PLA University of Science and Technology (Natural Science Edition), 13(5), 490–496.
Zolghadri, A. (2012). Advanced model-based FDIR techniques for aerospace systems: Today's challenges and opportunities. Process in Aerospace Science, 63, 18–29.