航迹预测 Resources

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The application context of target tracking involves radar data processing, where radar systems detect targets and record their positional data. The measured target position data (referred to as plots) are processed to automatically form trajectories and predict target positions at subsequent time steps. Implementation typically involves data association algorithms and state estimation techniques to handle measurement uncertainties and target dynamics.

MATLAB 225 views Tagged
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The application background of target tracking problems lies in radar data processing, where radar systems detect targets and record position measurements (known as plots), then process these measurements to automatically form target trajectories and predict future positions. This article briefly discusses using Kalman filtering method for single target trajectory prediction, with MATLAB simulation tools employed to evaluate experimental performance. The trajectory.m file generates theoretical trajectories and visualization plots, while Kalman_filter.m implements Kalman filtering algorithm for target trajectory estimation. The filter_result.m file provides Kalman filtering estimation results along with mean error and standard deviation curves for performance analysis.

MATLAB 220 views Tagged
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