Progress In Electromagnetics Research M
ISSN: 1937-8726
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 73 > pp. 119-129


By X. Guo, C. Liu, Q. Fu, and G. Wang

Full Article PDF (173 KB)

Because of the maneuvering of hypersonic target, the tracking of near space hypersonic target is difficult. In this paper, a new adaptive tracking algorithm based on aerodynamic model and improved square root cubature kalman filter is proposed. The adaptive piecewise constant Jerk model, gives the acceleration recursive process based on the dynamic model. Considering the non-linear characteristic of the target state model and the observation model, the improved square-root cubature kalman filter is applied to estimate target state. The simulation results under different maneuvers conditions indicate that the proposed method has higher accuracy than original aerodynamic model. The research provides a feasible solution to the further improvement of the real time tracking accuracy of near space hypersonic target.

X. Guo, C. Liu, Q. Fu, and G. Wang, "A New Adaptive Tracking Algorithm for Near-Space Hypersonic Target," Progress In Electromagnetics Research M, Vol. 73, 119-129, 2018.

1. Huang, W., S. B. Luo, and Z. G. Wang, "Key techniques and prospect of near-space hypersonic vehicle," Journal of Astronautics, Vol. 31, No. 5, 1259-1265, 2010.

2. Li, S. Y., et al., "Overview of anti-hypersonic weapon in near space," Modern Radar, Vol. 36, No. 6, 13-18, 2014.

3. Nie, W. S., S. B. Luo, and S. J. Feng, "Analysis of key technologies and development trend of near space vehicle," Journal of National University of Defense Technology, Vol. 34, No. 2, 107-113, 2012.

4. Hu, Z. D., Y. Cao, and S. F. Zhang, "Trajectory performance analysis and optimization design for hypersonic skip vehicle," Journal of Astronautics, Vol. 29, No. 3, 821-825, 2008.

5. Wang, L. D., et al., "Technology status and development trend for radar detection of hypersonic target in near space," Journal of Signal Processing, Vol. 30, No. 1, 72-85, 2014.

6. Dai, J., J. Cheng, and R. Guo, "Research on near-space hypersonic weapon defense system and the key technology," Journal of the Academy of Equipment Command & Technology, Vol. 21, No. 3, 58-61, 2010.

7. Li, X. R. and V. P. Jilkov, "Survey of maneuvering target tracking. Part II: Motion models of ballistic and space targets," IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 1, 96-119, 2010.

8. Wu, N. and L. Chen, "Adaptive kalman ltering for trajectory estimation of hypersonic glide reentry vehicles," Acta Aeronautica et Astronautica Sinica, Vol. 34, No. 8, 1960-1971, 2013.

9. Li, H. N., et al., "Tracking oriented dynamics modeling of air-breathing hypersonic vehicles," Acta Aeronautica et Astronautica Sinica, Vol. 35, No. 6, 1651-1664, 2014.

10. Zhai, D. L., et al., "Trajectory prediction oriented aerodynamic performances analysis of hypersonic vehicles," Journal of Solid Rocket Technology, Vol. 40, No. 1, 115-120, 2017.

11. Zhai, D. L., et al., "Trajectory prediction of hypersonic vehicle based on adaptive IMM," Acta Aeronautica et Astronautica Sinica, Vol. 37, No. 11, 3466-3475, 2016.

12. Arasaratnam, S. Haykin and R. J. Elliot, "Cubature Kalman lters," IEEE Trans. on Automatic Control, Vol. 54, No. 6, 1254-1269, 2009.

13. Mu, J. and Y. L. Cai, "Iterated cubature Kalman lter and its application," Systems Engineering and Electronics, Vol. 33, No. 7, 1454-1457, 2011.

14. Wang, P., et al., "Performance evaluation of several methods for tracking a ballistic object," Journal of Shenzhen University Science and Engineering, Vol. 29, No. 5, 392-398, 2012.

15. Li, X. R. and V. P. Jilkov, "A survey of maneuvering target tracking: Approximation techniques for nonlinear ltering," Proceeding of 2004 SPIE Conference on Signal and Data Processing of Small Targets, 537-550, 2004.

© Copyright 2010 EMW Publishing. All Rights Reserved