DOI QR코드

DOI QR Code

Ballistic Missile Tracking using Unscented Kalman Filter

Unscented Kalman Filter를 이용한 탄도 미사일 추적

  • 박상혁 (인하대학교 항공우주공학과) ;
  • 윤중섭 (인하대학교 항공우주공학과) ;
  • 유창경 (인하대학교 항공우주공학과)
  • Published : 2008.09.01

Abstract

In most cases, the trajectory of a ballistic missile is well explained by the Kepler's laws. It implies that the remaining trajectory of the ballistic missile including its final destination can be easily predicted if the position and velocity vector of the ballistic missile at any point on its path can be exactly known. Hence, an effective tracking algorithm based on an exact radar measurement model is very important for developing Ballistic Missile Defense(BMD) system. In this paper, we address to design a nonlinear filter, Unscented Kalman Filter(UKF), to track the ballistic missile.

Keywords

References

  1. G. M. Siouris, Missile Guidance and Control Systems, Springer- Verlag, 2004
  2. A. Farina, B. Ristic, and D. Benvenuti, "Tracking a ballistic target : comparison of several nonlinear filters," IEEE transactions on Aerospace and Electronic Systems, vol. 38, no. 3, pp. 854-867, Jul. 2002 https://doi.org/10.1109/TAES.2002.1039404
  3. B. G. Saulson and K. C. Chang, "Nonlinear estimation comparison for ballistic missile tracking," SPIE Journal of Optical Engineering, vol. 43, no. 6, pp. 1424-1438, Jun. 2004 https://doi.org/10.1117/1.1738431
  4. S. C. Zhang, S. H. Liu, and G. D. Hu, "Tracking a ballistic target with unscented iterative Kalman filter," IECON 2005. 31st Annual Conference of IEEE, pp. 107-111, Nov. 2005
  5. A. Farina, M. G. Del Gaudio, U. D'Elia, S. Immediata, L. Ortenzi, L. Timmoneri and M. R. Toma, "Detection and tracking of ballistic target," Proceedings of the IEEE, Radar Conference, 2004., pp. 450-456, Apr. 2004
  6. G. R. Curry, Radar System Performance Modeling, 2nd Ed, Artech House Radar Library, 2005
  7. J. B. Keller, "Backscattering from a finite cone," IEEE Transactions on Antennas and Propagation, vol. 8, no. 2, pp. 175-182, Mar. 1960 https://doi.org/10.1109/TAP.1960.1144832
  8. M. E. Bechtel, "Application of geometric diffraction theory to scattering from cones and disks," Proceedings of the IEEE, pp. 877-882, Aug. 1965
  9. P. Z. Peebles, Jr., Radar Principles, John Wiley & Sons, Inc., 1998
  10. D. K. Barton, Radar System Analysis and Modeling, Artech House Radar Library, 2005
  11. 백정호, "확장칼만필터와 Unscented 칼만필터를 이용한 우주발사체의 실시간 궤적추정," 연세대학교 학위논문, 2005
  12. E. A. Wan and R. Van Der Merwe, "The unscented Kalman filter for nonlinear estimation," Proceedings of Symposium 2000 on Adaptive Systems for Signal Processing, Communication and Control (AS-SPCC), IEEE, Lake Louise, Alberta, Canada, pp. 153-158, Oct. 2000

Cited by

  1. Estimation of Moving Target Trajectory using Optimal Smoothing Filter based on Beamforming Data vol.43, pp.12, 2015, https://doi.org/10.5139/JKSAS.2015.43.12.1062