Cubature Kalman Filter Classification and Application
The Cubature Kalman Filter is the most widely used filtering algorithm due to its good filtering stability and high precision.By introducing the principles,advantages and disadvantages of three types of cubature Kalman filters,namely iterative cubature Kalman filter,square root cubature Kalman filter and adaptive cubature Kalman filter,and analyzes their applications in navigation positioning,target tracking and trajectory data processing with specific examples,providing a reference for selecting the appropriate cubature Kalman filter for data processing.The study shows that the cubature Kalman filter has excellent nonlinear approximation performance,numerical accuracy and filtering stability,and can effectively handle the filtering problem of high-dimensional nonlinear systems,providing an effective means to solve practical problems.
cubature Kalman filternavigation and positioningtarget trackingtrajectory data processing
NETL
NSTL
万方数据
