Analysis of the Impact of Kinematic Parameters on Kalman Filtering Performance in Missile Angular Tracking Systems

In navigation and target tracking control systems, accurate angular tracking is a crucial requirement to ensure system stability and precision. However, measurement noise significantly degrades signal quality and impacts target tracking capabilities. This paper presents a simulation model of an angle tracking system using a discrete Kalman filter, built upon the differential equations of an electromechanical rotating system. The novelty of this study lies in evaluating the impact of three characteristic kinematic parameters moment of inertia, damping coefficient, and stiffness on filtering performance and tracking error. By calculating and visualizing RMSE, velocity error, and angular error over time, this study clarifies the design parameters’ role in improving angle signal filtering quality. The simulation results are visualized and serve as a reference for selecting optimal parameter configurations in real-world tracking systems under noise conditions.