Modified unscented Kalman filtering and its application in autonomous satellite navigationUnscented Kalman filterstabilitysatellitesnavigationorbit determinationIn this paper, a modified unscented Kalman filter (UKF) for nonlinear stochastic systems is proposed, and it is applied to autonomous orbit determination...
One filter computes the state posterior given a parameter estimate, while the other computes the parameter posterior given an estimate of the hidden states. The two separate Kalman filters interact by each feeding its estimate into the other. The computational complexity is smaller and the matrix ...
5. Low cost AHRS and GPS/IMU integration using Kalman filtering for autonomous vehicle navigation [D] . Hopkins, Kevin P. 2012 机译:使用卡尔曼滤波的低成本AHRS和GPS / IMU集成用于自动导航 6. Adaptive Iterated Extended Kalman Filter and Its Application to Autonomous Integrated Navigation for...
Sections 2 and 3 give the introduction for AIEKF and its application to INS/WSN integrated system. The tests and discussion are illustrated in Section 4. Finally, the conclusions are given. 2. Adaptive Iterated Extended Kalman Filter In this section, a brief introduction to the EKF and IEKF ...
A robust unscented Kalman filter and its application in estimating dynamic positioning ship motion statesState estimationShip motion statesOutlierFaulty sensorsModified unscented Kalman filterEstimating dynamic positioning ship motion states is complex if the measured nonlinear motion data have outlying data ...
Levenberg-Marquardt (abbr. L-M) method based iteration square root cubature Kalman filter (ISRCKFLM) combining the measurement update of square root cubature Kalman filter (SRCKF) with nonlinear least square error, so the ISRCKFLM algorithm has the virtues of global convergence and numerical ...
Centralized Kalman Filter with Adaptive Measurement Fusion : its Application to a GPS/SDINS Integration System with an Additional Sensor A marine INS/GPS adaptive navigation system is presented. GPS with two antenna providing vessel's altitude is selected as the auxiliary system fusing with ... TG...
The corresponding Kalman filter equations are given which are applied to derive approximate filtering equations for a lore complicated non-linear dynamic model. Finally an example is given, where a non-linear time series model is linearized and its parameters estimated by optimizing a Gaussian ...
The advanced feature of the Kalman filter is its self-correction nature which tolerates high current variation while the system is running. It separates the parameters from uncertain observations. The major fields where the Kalman filter finds application include the automobile sector, radar tracking,...
Modified iterated extended Kalman filter based on Gauss-Newton iteration and its application in UNGM 来自 Semantic Scholar 喜欢 0 阅读量: 51 作者: Huang Bai-qing 摘要: By analyzing iterated extended Kalman filter(IEKF) in terms of Gauss-Newton iteration,a modified IEKF algorithm was obtained with...