论文信息 - Design of minimax robust filtering for an integrated GPS/INS system

Design of minimax robust filtering for an integrated GPS/INS system

Abstract. The problem of navigation systems with uncertain noise is considered. A minimax robust filtering which can minimize the worst performance under noise uncertainties using the game theory is proposed. This new filter is applied to an integrated GPS/INS navigation system. A high dynamics aircraft trajectory is designed to test the new filter. The results show that minimax robust filtering performs better than standard Kalman filtering when noise parameters of an inertial measurement unit change their statistical properties.

[1] John Weston,et al. Strapdown Inertial Navigation Technology , 1997 .

[2] A. Johnson,et al. Stability robustness of the discrete-time LQG system under plant perturbation and noise uncertainty , 1992 .

[3] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[4] K. P. Schwarz,et al. High-Accuracy Kinematic Positioning by GPS-INS , 1988 .

[5] S. Sangsuk-Iam,et al. Analysis of discrete-time Kalman filtering under incorrect noise covariances , 1990 .

[6] Wen-Hua Chen,et al. Design of minimax robust LQG controllers under parameter and noise uncertainties , 1994 .

[7] Douglas P. Looze,et al. Minimax control of linear stochastic systems with noise uncertainty , 1983 .

[8] H. Poor,et al. Minimax state estimation for linear stochastic systems with noise uncertainty , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.