한국항공우주학회지 (Journal of the Korean Society for Aeronautical & Space Sciences)

  • 제45권12호
  • /
  • Pages.1076-1083
  • /
  • 2017
  • /
  • 1225-1348(pISSN)
  • /
  • 2287-6871(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
권호 표지
DOI QR코드

DOI QR Code

레이다 전파굴절에 의한 발사체 추적오차 추정

Estimation of Launch Vehicle Tracking Error due to Radio Refraction

  • Seo, Gwang-Gyo (Graduate School of Mechanical and Aerospace Engineering, Research Center for Aircraft Parts Technology, Gyeongsang National University) ;
  • Kim, Yoonsoo (Graduate School of Mechanical and Aerospace Engineering, Research Center for Aircraft Parts Technology, Gyeongsang National University) ;
  • Shin, Vladimir (Department of Information and Statistics, Gyeongsang National University) ;
  • Song, Ha-Ryong (Flight Safety Technology Team, Korea Aerospace Research Institute) ;
  • Choi, Yong-Tae (Flight Safety Technology Team, Korea Aerospace Research Institute)
  • 투고 : 2017.08.07
  • 심사 : 2017.10.29
  • 발행 : 2017.12.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 발사체를 추적하는 단일 레이다 시스템에서 측정한 데이터에 포함된 오차를 추정하는 기법에 관한 내용을 다룬다. 레이다 시스템의 발사체 추적 데이터에는 발사체의 실제 위치, 방위각 혹은 고각 정보와 무작위 잡음, 그리고 전파굴절에 의한 바이어스가 포함되어져 있는 것으로 알려져 있다. 본 논문에서는 기존연구내용과는 달리, GPS와 같은 타 추적 데이터를 사용하지 않고 단일 레이다 시스템의 발사체 추적 데이터만을 사용해 레이다 추적 데이터에 포함된 바이어스를 정확하게 추정하는 기법을 소개한다. 제안된 기법을 실제 나로호(KSLV-I) 추적 데이터에 적용하여 그 정확성을 검증하였다.

This paper discusses the error estimation in radar measurement data obtained while tracking a launch vehicle. It is known that typical radar measurement data consist of the true positional or orientation information on the vehicle being tracked, random noise and a deterministic bias due to radio refraction. Unlike previous research works, this paper proposes a tracking-error (mainly bias) estimation method solely based on the single radar measurement with no aid of other measurement such as GPS. The proposed method has been verified with real measurement data obtained while tracking the KSLV-I launch vehicle.

키워드

참고문헌

  1. Roh, W. R., and Kim, Y. D., "Trajectory Optimization of Multi-stage Launch Vehicle using Time Domain Finite Element Method," Proceeding of The Korean Society for Aeronautical and Space Sciences Spring Conference. April 1998, pp. 446-451.
  2. Kim, C. P., Ha, J. S., Noh, S. U., Park, S. R., Choi, W. K., and Kang, D. K., "Processing Real-Time Flight Test Data for the Estimation of the Coordinate Position of Projectiles by Multiple Radars," The Journal of Korean Institute of Next Generation Computing. Vol. 12, No. 2, 2016, pp. 43-53.
  3. Yun, S. Y., and Lyou, J., "Flight trajectory generation through post-processing of launch vehicle tracking data," Journal of the Korea Industrial Information Systems Research. Vol. 19, No. 6, 2014, pp. 53-61. https://doi.org/10.9723/JKSIIS.2014.19.6.053
  4. Song, H. R., "Performance Enhancement of Launch Vehicle Tracking Using GPS-based Multiple Radar Bias Estimation and Sensor Fusion," Journal of the Korea Industrial Information Systems Research. Vol. 20, No. 6, 2015, pp. 47-56. https://doi.org/10.9723/jksiis.2015.20.6.047
  5. Xu, T., and Nai-yuan, X., "Atmospheric Refraction and Path Bending Delay," Chinese Astronomy and Astrophysics. Vol. 33, 2009, pp. 217-222. https://doi.org/10.1016/j.chinastron.2009.03.005
  6. Suchomski, P., "Explicit Expressions for Debiased Statistics of 3-D Converted Measurements," IEEE Trans. on Aerospace and Electronics System. Vol. 35, No. 1, pp. 368-370.
  7. Han, Y. S., Song, H. R., and Kim, K. T., "Noise Estimation of Launch Vehicle Tracking Algorithm Using Auto-Regression Model and Auto-Correlation Method," Proceeding of Institute of Control, Robotics and Systems. May 2015, pp. 83-84.