Analysis and Correction of Localization Error for Near-Space Maneuvering Targets Under Atmospheric Refraction Conditions

The localization accuracy of targets in space is not only affected by sensor distance and angle measurement accuracy, airborne platform position accuracy, but also by atmospheric refraction. The paper establishes a target motion model, analyzes the influence mechanism of atmospheric refraction on target positioning, uses an improved Kalman filtering algorithm to predict the state of the target, adjusts and updates the state estimation based on the measurement values, and finally achieves the positioning error under atmospheric refraction conditions.