Error-space estimation method and simplified algorithm for space target tracking

Area of Science:

• Aerospace Engineering
• Control Systems
• Signal Processing

Background:

• Mobile optoelectronic tracking equipment requires high precision for space target tracking.
• Existing methods face challenges with measurement validity and accuracy, impacting stability.
• Kalman filtering is a standard technique for state estimation in dynamic systems.

Purpose of the Study:

• To enhance space target tracking precision and the stability of mobile optoelectronic tracking equipment.
• To develop a simplified algorithm for reduced computational cost in Kalman filtering for tracking.
• To improve the accuracy of space target position estimation using an error-space approach.

Main Methods:

• An error-space estimation method based on the Kalman filter is proposed.
• A simplified algorithm is presented to decrease the computational cost.
• Prediction errors are treated as the motion of a weak maneuver target for accurate estimation in error space.

Main Results:

• The proposed method decomposes actual position into offline prediction and prediction errors.
• Accurate estimation of prediction errors in error space is achieved.
• Synthesizing error estimation with offline prediction yields higher accuracy in space target positioning.

Conclusions:

• The error-space Kalman filter method significantly improves space target tracking precision.
• The simplified algorithm effectively reduces calculation costs.
• Enhanced tracking performance and stability of mobile optoelectronic equipment are achieved.