Kalman Filters Kalman filter state, specified as a real-valued M-element vector, where M is the size of the state vector. Tuning Kalman Filter to Improve State Estimation - MATLAB Kalman - GitHub Pages The Kalman filter has many uses, including applications in control, navigation, computer vision, and time series econometrics. Kalman Filter Sensor Fusion and Tracking Toolbox™ provides estimation filters that are optimized for specific scenarios, such as linear or nonlinear motion models, linear or nonlinear measurement models, or incomplete observability. Kalman filter state vector for constant-velocity motion, specified as a real-valued 2N-element column vector where N is the number of spatial degrees of freedom of motion. The Kalman filter uses default values for the StateTransitionModel , MeasurementModel, and ControlModel properties. The function also sets the MotionModel property to '2D Constant Velocity'. Kalman Filters This includes the 1D, 2D or 3D constant velocity or even constant acceleration. I really read a lot of articles about the design of this filter but the performances of my filter are still quite bad. Linear Kalman Filters - MATLAB & Simulink - MathWorks …