JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Application of trajectory data mining to improve the estimation accuracy of launcher trajectory by telemetry ground system
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Application of trajectory data mining to improve the estimation accuracy of launcher trajectory by telemetry ground system
Lee, Sunghee; Kim, Doo-gyung; Kim, Keun-hyung;
  PDF(new window)
 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.
 Keywords
Trajectory Data Mining;Quadratic Regression;Interpolation;Launch Vehicle;Telemetry Ground System(TGS);
 Language
Korean
 Cited by
1.
GPS 기반 추적레이더 실시간 바이어스 추정 및 비동기 정보융합을 통한 발사체 추적 성능 개선,송하룡;

한국산업정보학회논문지, 2015. vol.20. 6, pp.47-56 crossref(new window)
 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)