DOI QR코드

DOI QR Code

컨포멀 소나에서의 표적고각 추적 및 융합을 이용한 표적기동분석 성능향상 연구

A Study on Performance Improvement of Target Motion Analysis using Target Elevation Tracking and Fusion in Conformal Array Sonar

  • 이해호 (LIG넥스원(주) 해양1연구소) ;
  • 박규태 (LIG넥스원(주) 해양1연구소) ;
  • 신기철 (LIG넥스원(주) 해양1연구소) ;
  • 조성일 (LIG넥스원(주) 해양1연구소)
  • Lee, HaeHo (Maritime Sonar & Naval Combat System R&D, LIG Nex1) ;
  • Park, GyuTae (Maritime Sonar & Naval Combat System R&D, LIG Nex1) ;
  • Shin, KeeCheol (Maritime Sonar & Naval Combat System R&D, LIG Nex1) ;
  • Cho, SungIl (Maritime Sonar & Naval Combat System R&D, LIG Nex1)
  • 투고 : 2018.12.19
  • 심사 : 2019.05.24
  • 발행 : 2019.06.05

초록

In this paper, we propose a method of TMA(Target Motion Analysis) performance improvement using target elevation tracking and fusion in conformal array sonar. One of the most important characteristics of conformal array sonar is to detect a target elevation by a vertical beam. It is possible to get a target range to maximize advantages of the proposed TMA technology using this characteristic. And the proposed techniques include target tracking, target fusion, calculation of target range by multipath as well as TMA. A simulation study demonstrates the outstanding performance of proposed techniques.

키워드

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Fig. 1. The development trends of conformal array sonar[10,11]

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Fig. 2. The functional diagram of data processing in conformal array sonar

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Fig. 3. The diagram of target elevation fusion

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Fig. 4. The geometric relationship between submarine and target

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Fig. 5. The operation of cylindrical array sonar

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Fig. 6. The operation of conformal array sonar

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Fig. 7. The 1st scenario

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Fig. 8. The true target bearing, elevation, range data

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Fig. 9. The RMSE results of target bearing tracking

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Fig. 10. The RMSE results of target elevation tracking and fusion

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Fig. 11. The RMSE results of target range by multipath

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Fig. 12. The RMSE results of TMA range

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Fig. 13. The RMSE results of TMA course

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Fig. 14. The RMSE results of TMA speed

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Fig. 15. The true target bearing, elevation, range data

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Fig. 16. The RMSE results of target bearing tracking

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Fig. 17. The RMSE results of target elevation fusion

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Fig. 18. The RMSE results of target range by multipath

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Fig. 19. The RMSE results of TMA bearing

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Fig. 20. The RMSE results of TMA range

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Fig. 21. The RMSE results of TMA course

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Fig. 22. The RMSE results of TMA speed

Table 1. The simulation condition of 1st scenario

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참고문헌

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  3. Y. Bar-Shalom, F. Daum and J. Huang, "The Probabilistic Data Association Filter," IEEE Control Systems Magazine, Vol. 29, No. 6, pp. 82-100, 2009. https://doi.org/10.1109/MCS.2009.934469
  4. X. R. Li, "Tracking in Clutter with Strongest Neighbor Measurements-Part I: Theoretical Analysis," IEEE Trans. on Automatic Control, Vol. 43, No. 11, 1998.
  5. Y. Bar-Shalom and X. R. Li, "Multitarget-Multisensor Tracking : Principles and Techniques," 1995.
  6. A. D. Waite, "Sonar for Practising Engineers," 3rd edition, Wiley, 2002.
  7. S. C. Nardone, A. G. Lindgren, and K. F. Gong, "Fundamental Properties and Performance of Conventional Bearings-Only Target Motion Analysis," IEEE Trans. on Automatic Control, Vol. 29, pp. 775-787, 1984. https://doi.org/10.1109/TAC.1984.1103664
  8. B. Ristic, S. Arulampalam, and N. Gordon, "Beyond the Kalman Filter," Artech House, 2004.
  9. S. C. Chapra, R. P. Canale, "Numerical Methods for Engineers," 6th Edition, Mc Graw Hill, 2009.
  10. Weapons and Warfare, 2018, "UNITED STATES: VIRGINIA CLASS(2005)," https://weaponsandwarfare.com/2018/08/03/united-states-virginia-class-2005/ (accessed May 25, 2019).
  11. Pakistan Defence, 2015, "A Complete Information on Russian offer of Indian Amur 1650 & Analysis," https://defence.pk/pdf/threads/a-complete-informationon-russian-offer-of-indian-amur-1650-analysis.367760/ (accessed May 25, 2019).