Parameter evaluation of complex maneuvering targets using Kalman fitering and multi-model adaptation

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.335274

Keywords:

guidance law, missile, homing, maneuvers, estimate

Abstract

The object of research is the system determines the target angular coordinates on the missile’s homing head. Current target coordinate determination systems employed in seekers often operate under significant limitations. When a target’s actual motion deviates from the simplified, hypothetical model used to synthesize the coordinate system, a critical issue arises: the errors in evaluating both the coordinates and their derivative components rapidly and significantly increase.

Problem that was solved is to evaluate complex maneuvering target parameters. But there is no need to know the target’s maneuver frequency.

This study presents a novel filtering algorithm that accurately estimates all parameters of complex maneuvering targets without prior knowledge of their maneuver frequency. The algorithm achieves a significant advantage, reducing estimation error by over 95% within the first 5 seconds. With its simple structure, high stability, and fast convergence, this robust solution is essential for modern guidance systems, greatly enhancing the effectiveness of tracking unpredictable threats.

A key strength of the proposed algorithm lies in its simple structure. Furthermore, it demonstrates high convergence rates and exceptional stability, crucial attributes for real-time applications. Its design also ensures ease of practical implementation, making it a viable solution for contemporary guidance systems.

The algorithm is built on modern control techniques, combining extended Kalman filtering with interactive multi-models. It is necessary to accurately evaluate the target’s position, velocity, acceleration, and acceleration derivative without needing to know in advance the target’s maneuver frequency

Author Biographies

Nguyen Thi Dieu Linh, Hanoi University of Industry

PhD

Department of Science and Technology

Dao Xuan Hien, Academy of Military Science and Technology

Master

Institute of Missile

Nguyen Van Bang, Air Defence – Air Force Academy

Department of Missile

References

  1. Tuan, N. N., Thi, N. D., Van Bang, N., Van Tuyen, T. (2021). Synthesis of Remote Control Law When Taking into Dynamics and Nonlinear of the Missile Stage. Intelligent Systems and Networks, 171–180. https://doi.org/10.1007/978-981-16-2094-2_22
  2. Nguen, V. B., Dang, K. Vy., Trin', K. F., Nguen, N. T. (2021). Synthesis of the maneuver target acceleration determines algorithm. Estestvennye i Tekhnicheskie Nauki, 3 (154). https://doi.org/10.25633/etn.2021.02.07
  3. Hsueh, M.-H., Huang, C.-I., Fu, L.-C. (2007). A Differential Game Based Guidance Law for the Interceptor Missiles. IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, 665–670. https://doi.org/10.1109/iecon.2007.4460196
  4. Li, X.-R., Jilkov, V. P. (2004). A survey of maneuvering target tracking: approximation techniques for nonlinear filtering. SPIE Proceedings. https://doi.org/10.1117/12.553357
  5. Jiyuan, L., Jun, Z., Yingying, L. (2018). Applying auto-adaptation filter to tracking of maneuvering target in special relative navigation. J. Northwest, Polytech. Univ., 4, 013.
  6. Liu, L., Wang, X., Yang, X., Liu, H., Li, J., Wang, P. (2023). Path planning techniques for mobile robots: Review and prospect. Expert Systems with Applications, 227, 120254. https://doi.org/10.1016/j.eswa.2023.120254
  7. Kabir, H., Tham, M.-L., Chang, Y. C. (2023). Internet of robotic things for mobile robots: Concepts, technologies, challenges, applications, and future directions. Digital Communications and Networks, 9 (6), 1265–1290. https://doi.org/10.1016/j.dcan.2023.05.006
  8. Martin, J. G., Muros, F. J., Maestre, J. M., Camacho, E. F. (2023). Multi-robot task allocation clustering based on game theory. Robotics and Autonomous Systems, 161, 104314. https://doi.org/10.1016/j.robot.2022.104314
  9. Kanoon, Z. E., Al-Araji, A. S., Abdullah, M. N. (2022). Enhancement of Cell Decomposition Path-Planning Algorithm for Autonomous Mobile Robot Based on an Intelligent Hybrid Optimization Method. International Journal of Intelligent Engineering and Systems, 15 (3), 161–175. Available at: https://inass.org/wp-content/uploads/2022/02/2022063014-2.pdf
  10. Zhang, H., Peng, Q. (2022). PSO and K-means-based semantic segmentation toward agricultural products. Future Generation Computer Systems, 126, 82–87. https://doi.org/10.1016/j.future.2021.06.059
  11. Salama, O. A. A., Eltaib, M. E. H., Mohamed, H. A., Salah, O. (2021). RCD: Radial Cell Decomposition Algorithm for Mobile Robot Path Planning. IEEE Access, 9, 149982–149992. https://doi.org/10.1109/access.2021.3125105
  12. Trung, D., Tuan, N., Bang, N., Tuyen, T. (2021). Synthesis of Line of Sight Angle Coordinate Filter on the Basis of Interactive Multi-Model Evaluation Algorithm. Informatics and Automation, 20 (6), 1333–1367. https://doi.org/10.15622/ia.20.6.6
  13. Rafai, A. N. A., Adzhar, N., Jaini, N. I. (2022). A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots. Journal of Robotics, 2022, 1–14. https://doi.org/10.1155/2022/2538220
  14. Abdulsaheb, J. A., Kadhim, D. J. (2023). Classical and Heuristic Approaches for Mobile Robot Path Planning: A Survey. Robotics, 12 (4), 93. https://doi.org/10.3390/robotics12040093
  15. Zhu, K., Zhang, T. (2021). Deep reinforcement learning based mobile robot navigation: A review. Tsinghua Science and Technology, 26 (5), 674–691. https://doi.org/10.26599/tst.2021.9010012
Parameter evaluation of complex maneuvering targets using Kalman fitering and multi-model adaptation

Downloads

Published

2025-08-30

How to Cite

Linh, N. T. D., Hien, D. X., & Bang, N. V. (2025). Parameter evaluation of complex maneuvering targets using Kalman fitering and multi-model adaptation. Eastern-European Journal of Enterprise Technologies, 4(4 (136), 83–90. https://doi.org/10.15587/1729-4061.2025.335274

Issue

Section

Mathematics and Cybernetics - applied aspects