MATLAB Implementation of Target Tracking Using CV Model and Kalman Filter

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Resource Overview

A comprehensive target tracking program developed in MATLAB featuring Constant Velocity (CV) model implementation, Kalman tracking algorithm, trajectory simulation capabilities, error analysis, and performance evaluation with simulated tracking results

Detailed Documentation

This target tracking program is implemented in MATLAB using the Constant Velocity (CV) model combined with Kalman tracking algorithm. The implementation includes trajectory simulation functionality where target motion patterns are generated using state-space equations. The Kalman filter algorithm processes tracking data through prediction and update steps: predicting target state using the CV model and correcting predictions with measurement data to enhance tracking accuracy. The program provides comprehensive error analysis by calculating position deviations between estimated and actual trajectories using metrics like Root Mean Square Error (RMSE). These features make this target tracking program highly reliable and precise for practical applications, with the MATLAB code structure including main functions for initialization, state prediction, measurement update, and error computation.

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