Journal of Korea Society of Industrial Information Systems (한국산업정보학회논문지)

Korea Society of Industrial Information Systems (한국산업정보학회)
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Application of trajectory data mining to improve the estimation accuracy of launcher trajectory by telemetry ground system

원격자료수신장비의 발사체궤적 추정정확도 향상을 위한 궤적데이터마이닝의 적용

  • 이성희 (한국항공우주연구원 정지궤도위성관제팀) ;
  • 김두경 (제주대학교 경영정보학과) ;
  • 김근형 (제주대학교 경영정보학과)
  • Received : 2014.09.17
  • Accepted : 2015.10.22
  • Published : 2015.10.31
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Abstract

This paper is focused on how the trajectory of launch vehicle could be optimally estimated by the quadratic regression of trajectory data mining for the operation of telemetry ground system in NARO space center during real-time. To receive the telemetry data, the telemetry ground system has to track the space launch vehicle without tracking loss, and it is possible by the well-designed algorithm to estimate a flight position in real-time. For this reason, the quadratic regression model instead of interpolation was considered to estimate the exact position data of launch vehicle and the improvement of antenna performance. For analysis, the real trajectory data which had been logged during NARO 1st launch mission were used, the estimation result of launcher current position was analyzed by the mathematical modeling. In conclusion, the algorithm using quadratic regression based on trajectory data mining showed the better performance than previous interpolation algorithm to estimate the next flight position and the antenna driving performance.

본 논문은 궤적데이터마이닝의 2차 회귀분석 기법을 이용하여 나로우주센터 내 원격자료수신장비에서 우주발사체의 실시간 비행궤적을 보다 정확하게 추정하기 위한 방법을 제시하고 있다. 원격자료수신장비는 추적손실 없이 실시간으로 우주발사체의 비행위치와 상태정보를 수신하기 위한 정확한 위치추정 알고리즘이 필요하다. 따라서 나로호 1차 발사 시, 기존 보간법에 의한 원격자료수신장비 안테나의 거친 구동특성을 보완하고 안정적인 발사체의 위치추정을 위한 2차 회귀기법을 고려하였다. 성능분석을 위해 나로호 1차 비행시험데이터를 사용하였고, 수학적 모델링을 통해 실시간 발사체의 비행위치정보를 추정한 결과가 분석되었다. 분석결과, 궤적데이터마이닝의 2차 회귀기법을 적용한 위치추정알고리즘이 기존의 보간법에 의한 위치추정알고리즘보다 향상된 안테나 구동특성 및 추정정확도를 보였다.

Keywords

References

  1. J.Y. Kang, "Trajectory Pattern Mining and Location Prediction Techniques for Moving Objects", Ewha Womans University, 2010. (thesis for Ph.D.)
  2. Y.J. Jang, "Design and Implementation of a Moving Object Location Management System for LBS", Konkuk University, 2004. (thesis for M.S.)
  3. Yue Song, Peng Cheng and Chundi Mu, "An Improved Trajectory Prediction Algorithm based on Trajectory Data Mining for Air Traffic Management", IEEE International Conference on Information and Automation, June 6-8, 2012, Shenyang, China, pp.981-986, IEEE Press. (conference)
  4. R.H.Guting and M.Scheider, "Moving Objects Database", Morgan Kaufmann, 2005. (book)
  5. J.G. Lee, "A Data Mining Tool for Massive Trajectory Data", Journal of KIISE, Vol.15, No.3, pp. 145-153, 2009. (journal)
  6. Yang-Ji Lee, Duck-Young Kim, Min-Soon Hwang, and Young-Soo Cheong, " An event-driven intelligent failure analysis for marine diesel engines", Journal of the Korea Society Industrial Information Systen Society, Vol. 17, No. 4, pp. 71-85, 2012. (journal)
  7. Min-Sung Hong and Nam-Hae Mok, "A method of determining the user's state of movement based on the smart device usage", Journal of the Korea Society Industrial Information Systen Society, Vol. 18, No. 6, pp. 51-59, 2013. (journal)
  8. Byung-Hyun Moon, Young-Seok Jin, Jeong-Tak Ryu, "Implement of Vehicle Sensor System Using Wireless Communication and Mobile Device", Journal of the Korea Society Industrial Information Systen Society, Vol. 14, No. 2, pp. 71-85, 2009. (journal)
  9. Lee, J.-G., Han, J., and Whang, K.-Y., "Trajectory Clustering: A Partition-and- Group Framework", 2007 ACM SIGMOD Int'l conference on management of data, June 11-14, 2007, Beijing, China, pp.593-604, ACM New York, NY, USA. (conference)
  10. Wang Chao and Han Zhonghua, "Trajectory Clustering Method Research and Application", International Conference on Transportation, Mechanical, and Electrical Engineering(TMEE), Dec. 16-18, 2011, Changchun, China, IEEE Press. (conference)
  11. W.Y. Jung and S.J. Cho, "A study on the starting point estimation of moving objects using the trajectory data mining", the conference of KIIE, Nov. 5, 2011, Seoul, Korea, pp.1220-1225, KIIE press. (conference)
  12. J.M. Lee, "A study on Statistical Regression Analysis", Yonsei University, 2002. (thesis for M.S.)
  13. S.H, Lee, C.Y. Oh and H.K Lee, "A study on the Design of Telemetry Ground System for Space Launch Application", Aerospace Engineering and Technology, Vol.2, No.2, pp.167-178, 2003. (journal)
  14. Frank Carden, "Telemetry System Design", Artech House, 1995. (book)
  15. S.H. Lee, S.I. Lee, S.H. Kwon, C.Y. Oh and H.K. Lee, "The technical trend of telemetry ground system for space launch application", Current Industrial and Technologic Trends in Aerospace, Vol.2, No.2, pp.109-119, 2004. (journal)
  16. Telemetry Group, "Telemetry Application Handbook 119-88", Range Commanders Council, 1988. (book)
  17. Chang-Yul Oh, "Analysis on the Radiowave Refraction to Improve the Tracking Accuracy for Space Launch Vehicle", Chungnam National University, 2011. (thesis for Ph.D.)
  18. S.Y. Yun, Y.T.Choi, "Design of Algorithm Framework for Tracking Filter Implementation in Central Data Processing System(CDPS)", the conference of KSAS, Nov. 09-11, 2011, Yongpyong, Korea, pp. 1295-1300, KSAS press. (conference)