Application of Kalman Filter Algorithm in Motion Base Initial Alignment

Self-implemented Kalman filter algorithm applied to initial alignment of inertial navigation systems under moving base conditions, featuring sensor data processing and error compensation mechanisms

MATLAB Implementation of Kalman Filter Algorithm for Motion Trajectory Estimation

Implementation of the Kalman filter algorithm for tracking and estimating object motion trajectories using MATLAB routines and simulation techniques. The solution includes state prediction, measurement updates, and covariance matrix handling for optimal trajectory estimation.

Kalman Filter Algorithm for Moving Ball Tracking with Implementation Details

This is a functional small program implementing Kalman filter algorithm for moving ball tracking, featuring recursive state estimation and measurement update cycles. Includes practical code examples for prediction and correction steps, available for reference in target tracking research. Test images available upon request.