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A Study on the Static Target Accurate Size Estimation Algorithm with Triangulation

삼각측량법 기반의 정지 표적 정밀 크기 추정기법 연구

  • Jung, Yun Sik (Daegu 2nd team, Defense Agency for Technology and Quality) ;
  • Kim, Jin Hwan (Daegu 2nd team, Defense Agency for Technology and Quality)
  • 정윤식 (국방기술품질원 대구2팀) ;
  • 김진환 (국방기술품질원 대구2팀)
  • Received : 2015.03.01
  • Accepted : 2015.07.20
  • Published : 2015.10.01

Abstract

In this paper, the TSE (Triangulation based target Size Estimator) algorithm is presented to estimate static target size at IIR (Imaging Infrared) environment. The size information is important factor for accurate IIR target tracking. But the IIR sensor can't generate distance between missile and target to calculate target size. In order to overcome the problem, we propose TSE algorithm which based on triangulation measurement. The performance of proposed method is tested at target intercept scenario. The experiment results show that the proposed algorithm has suitable performance for the accurate static target size estimating.

Keywords

References

  1. Yanushevsky and Rafael. Modern Missile Guidance, CRC Press, 2007.
  2. Y. Jung, S. S. Lee, and S. B. Rho, "A study on the target tracking algorithm based on the target size estimation," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 1, pp. 29-36, Jan. 2014. https://doi.org/10.5302/J.ICROS.2014.13.1896
  3. Y. Jung and S. B. Rho, "A study on the resizable target size estimation method for imaging target tracking," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 8, pp. 842-848, Apr. 2014. https://doi.org/10.5302/J.ICROS.2014.13.0022
  4. R. Hartley and P. Sturm, Triangulation, Elsevier, Computer Vision and Image Understanding, 1997.
  5. Y. Bar-Shalom, T. E. Fortmann, Tracking and Data Association, Academic Press, New York, 1988.
  6. Y. Bar-Shalom, X. R. Li, Estimation, and Tracking: Principles and Techniques and Software, Artech House, Inc, 1993.
  7. T. L. Song, D. G. Lee, and J. H. Ryu, "A probabilistic nearest neighbor filter algorithm for tracking in a clutter environment," Signal Processing, vol. 85, no. 10, Oct. 2005.
  8. T. L. Song and D. G. Lee, "A probabilistic nearest neighbor filter algorithm for m validated measurements," IEEE Trans. on Signal Processing, Jul. 2006.
  9. K. J. Rhee and T. L. Song, "A probabilistic strongest neighbor filter algorithm based on number of validated measurement," JSASS 16th International Sessions in the 40th Aircraft Symposium, Japan, Oct. 2002.
  10. T. L. Song, Y. T. Lim, and D. G. Lee, "A probabilistic strongest neighbor filter algorithm for m validated measurements," IEEE Trans on AES, vol. 48, no. 4, pp. 431-442, Apr. 2009.
  11. T. L. Song and D. S. Kim, "Highest probability data association for active sonar tracking," The 9th International Conference on Information Fusion, Jul. 2006.
  12. Y. S. Jung and T. L. Song, "A study of IIR target detection and tracking with feature based HPDA," The Korea Institute of Military Science and Technology, vol. 11, no. 4, pp. 124-132, Jun. 2008.
  13. K. G. Choi and I. Y. Lee, "Comparison and performance validation of on-line aerial triangulation algorithms for real-time image georeferencing," Korean Journal of Remote Sensing, vol. 28, no. 1, 2012.
  14. J. S. Yoon, B. G. Kim, and C. N. Lee, "GPS/INS aerotriangulation using CORS observations," Journal of Korean Society for Geospetral Information System, vol. 17, 2009.
  15. B. S. Lee and S. W. Kim, "A study on self-localization of home wellness robot using collaboration of trilateration and triangulation," Journal of IKEEE, vol. 18, no. 1, Mar. 2014.
  16. J. H. Jang, D. Y. Lee, J. L. Zhang, Y. C. Jho, and C. H. Lee, "A study on error reduction of indoor location determination using triangulation method and least square method," Journal of Korea Safety Management & Science, vol. 14, no. 1, Mar. 2012.