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Moving-Target Tracking in Airport Airside Operations Using AIMM-STUKF.
Jianshu Gao1, Yinuo Dang2, Yuxuan Zhu2
1School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China.
Sensors (Basel, Switzerland)
|January 10, 2026
Summary
We developed a new mobile target tracking algorithm (AIMM-STUKF) for airports. This method significantly improves real-time tracking accuracy and robustness in complex airport environments.
Area of Science:
- Aerospace Engineering
- Robotics and Control Systems
- Signal Processing
Background:
- Accurate tracking of mobile targets in airport movement areas is critical for safety and efficiency.
- Existing tracking methods struggle with the complex dynamics and abrupt disturbances inherent in airport operations.
Purpose of the Study:
- To propose an advanced mobile target tracking method for airport environments.
- To enhance real-time tracking accuracy, model adaptability, and robustness against disturbances.
- To improve the performance of tracking algorithms in dynamic airport operational settings.
Main Methods:
- Developed the Adaptive Interacting Multiple Model - Strong Tracking Unscented Kalman Filter (AIMM-STUKF) algorithm.
- Incorporated an exponential correction factor for adaptive Markov transition matrix adjustment and self-adaptive mode switching.
- Integrated airport map information to constrain state estimates and improve environmental adaptability.
Main Results:
- The AIMM-STUKF algorithm demonstrated superior tracking accuracy compared to standard IMM-UKF and existing AIMM-UKF methods.
- Achieved enhanced model matching consistency and responsiveness during mode switching.
- Showcased significant robustness against sudden disturbances in simulated airport scenarios.
Conclusions:
- The proposed AIMM-STUKF algorithm offers a significant advancement in mobile target tracking for airport environments.
- Its adaptive nature and integration of map information lead to improved performance and reliability.
- This method provides a robust solution for enhancing operational safety and efficiency in airports.
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