DOI QR코드

DOI QR Code

Multiple Target Tracking using Normalized Rayleigh Likelihood of Amplitude Information of Target

Normalized Rayleigh Likelihood를 활용한 표적신호세기정보 적용 다중표적추적 기술

  • Kim, Sujin (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Jung, Younghun (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Kim, Seongjoon (The 5th Research and Development Institute, Agency for Defense Development)
  • 김수진 (국방과학연구소 제5기술연구본부) ;
  • 정영헌 (국방과학연구소 제5기술연구본부) ;
  • 김성준 (국방과학연구소 제5기술연구본부)
  • Received : 2017.01.20
  • Accepted : 2017.07.21
  • Published : 2017.08.05

Abstract

This paper presents a multiple target tracking system using Normalized Rayleigh likelihood of amplitude information of target. Although many studies of Radar systems using amplitude information have been studied, they are focused on single target tracking. This paper proposes the multiple target tracking using amplitude information as well as kinematic information from Radar sensor. The amplitude information are applied in generating the association probability of joint probabilistic data association(JPDA) algorithm through the normalized Rayleigh likelihood. It is verified that the proposed system can enhance the track maintenance and tracking accuracy, especially, in the target crossing case.

Keywords

References

  1. S Lee, D Choi, Y Jung, S Lee, J Yoon, “Development of FMCW Radar Target Signal Simulator using Multiplebeam,” Journal of the Korea Institute of Military Science and Technology, Vol. 15, No. 3, pp. 343-349, 2012. https://doi.org/10.9766/KIMST.2012.15.3.343
  2. X. R. Li and Y. Barshalom, "Tracking in clutter with Nearest neighbor Filters: Analysis and Performance," IEEE Transaction on Aerospace and Electronic Systems, Vol. 32, No. 3, 1996.
  3. Yaakov Bar-Shalom and Thomax E. Fortmann, "Tracking and Data Association," Academic Press, 1988.
  4. Yao Liu, Wei Zhang, Mingyan Chen, "Near Neighbor Cheap JPDA IMM Based on Amplitude Information," IEEE International Workshop on Microwave and Millimeter Circuits and System Technology(MMWCST), pp. 1-5, Apr., 2012.
  5. D. Lerro, “Interacting Multiple Model Tracking with Target Amplitude Feature,” IEEE Trans. on Aerospace and Electronic Systems, Vol. 28, No. 2, pp. 494-509, Apr., 1993.
  6. S. Puranik Jitendra, K. Tugnai, "Tracking of Multiple Maneuvering Targets using Multiscan JPDA and IMM Filtering," IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 1, Jan. 2007.
  7. M. Mertens, M. Ulmke, "GMTI Tracking using Signal Strength Information," IEEE 13th Conference on Information Fusion, pp. 1-8, July, 2010.
  8. E. F. Brekke, O. Hallingstad, J. H. Glattetre, "Target Tracking in Heavy-Tailed Clutter using Amplitude," IEEE 12th International Conference on Information Fusion, pp. 2153-2160, July, 2009
  9. L. M. Ehrman, C. Burton, W. D. Blair, "Using Target RCS to Aid Measurement-to-Track Association in Multi-Target Tracking," IEEE 38th Southeaster Symposium on System Theory, pp. 89-93, 2006.
  10. S. Wu, Y. Tan, S. Das, C. Broaddus, M. Y. Chiu, "Multiple-Target Tracking via Kinematics, Shape and Appearance Based Data Association," Proc. SPIE Signal and Data Processing of Small Targets, Vol. 7445, Sep. 2009.
  11. M. S. Arulampalam, et. Al., "A Tutorial on Particle Filters for Online Nonlinear/Non Gaussian Bayesian Tracking," IEEE Transactions on Signal Processing, Vol. 50, No. 2, 2002.
  12. G. A. Watson and W. D. Blair, "IMM Algorithm for Tracking Targets that maneuver Through Coordinated Turns," Proc. SPIE., Vol. 1698, pp. 236-247, 1992.
  13. D. Lerro and Y. Bar-Shalom, "Automated Tracking with Target Amplitude Information," Proc. IEEE American Control Conference, pp. 2875-2880, March, 2009.