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Application of trajectory data mining to improve the estimation accuracy of launcher trajectory by telemetry ground system
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 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;
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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.
Trajectory Data Mining;Quadratic Regression;Interpolation;Launch Vehicle;Telemetry Ground System(TGS);
 Cited by
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)
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