[1] Wang R, Xiong Z, Liu J, et al. SINS/GPS/CNS information fusion system based on improved Huber filter with classified adaptive factors for high-speed UAVs[C]∥Proceeding of the 2012 IEEE/ION Position, Location and Navigation Symposium (PLANS). Myrtle Beach,South Cardina: IEEE, 2012: 441-446.
[2]
[2] Hu H D, Huang X L.SINS/CNS/GPS integrated navigation algorithm based on UKF[J]. Journal of Systems Engineering and Electronics,2010, 21(1):102-109.
[12] Ge Z X, Yang Y M, Zheng H. A new UKF based fault detection method in non-linear systems[J].International Journal of Plant Engineering and Management,2006, 11(3):179-183.
[5]
[13] Rhudy M,Gu Y, Jason V, et al. Evaluation of matrix square root operations for UKF within a UAV GPS/INS sensor fusion application[J]. International Journal of Navigation and Observation, 2011:1-11.
[6]
[14] Nowak T, Eidloth A. Dynamic multipath mitigation applying unscented Kalman filters in local positioning systems[J]. International Journal of Microwave and Wireless Technologies,2011, 3(3): 365-372.
[7]
[4] Wang Q T, Xiao D. The research and application of robust UKF algorithm for GPS/SINS integrated system[J]. Journal of Convergence Information Technology,2011,6(6):202-211.
[8]
[5] Majeed M,Kar I N. Aerodynamic parameter estimation using adaptive unscented Kalman filter[J]. Aircraft Engineering and Aerospace Technology, 2013, 85(4):267-279.
[7] Zhang H T. Unscented Kalman filter and its nonlinear application for tracking a moving target[J]. Optik-International Journal for Light and Electron Optics,2013,13(3):4468-4471.
[11]
[8] Kols S,Foss B A, Schei T S. Constrained nonlinear state estimation based on the UKF approach[J]. Computers and Chemical Engineering, 2009, 33(8):1386-1401.