title: Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems.
abstract: This paper presents a sensor fusion method based on the combination of cubature Kalman filter (CKF) and fuzzy logic adaptive system (FLAS) for the integrated navigation systems, such as the GPS/INS (Global Positioning System/inertial navigation system) integration. The third-degree spherical-radial cubature rule applied in the CKF has been employed to avoid the numerically instability in the system model. In processing navigation integration, the performance of nonlinear filter based estimation of the position and velocity states may severely degrade caused by modeling errors due to dynamics uncertainties of the vehicle. In order to resolve the shortcoming for selecting the process noise covariance through personal experience or numerical simulation, a scheme called the fuzzy adaptive cubature Kalman filter (FACKF) is presented by introducing the FLAS to adjust the weighting factor of the process noise covariance matrix. The FLAS is incorporated into the CKF framework as a mechanism for timely implementing the tuning of process noise covariance matrix based on the information of degree of divergence (DOD) parameter. The proposed FACKF algorithm shows promising accuracy improvement as compared to the extended Kalman filter (EKF), unscented Kalman filter (UKF), and CKF approaches.
authors.affiliation: Institute of Electrical Control Engineering, National Chiao Tung University, Hsinchu 300, Taiwan. chtseng.ece01g@g2.nctu.edu.tw.
authors.forename: Chien-Hao
authors.initials: CH
authors.lastname: Tseng
authors.affiliation: Institute of Electrical Control Engineering, National Chiao Tung University, Hsinchu 300, Taiwan. sflin@mail.nctu.edu.tw.
authors.forename: Sheng-Fuu
authors.initials: SF
authors.lastname: Lin
authors.affiliation: Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 202, Taiwan. djjwo@mail.ntou.edu.tw.
authors.forename: Dah-Jing
authors.initials: DJ
authors.lastname: Jwo
keywords: cubature Kalman filter; fuzzy logic; integrated navigation; unscented Kalman filter