Comparison of Ballistic-Coefficient-Based Estimation Algorithms for Precise Tracking of a Re-Entry Vehicle and its Impact Point Prediction

Comparison of Ballistic-Coefficient-Based Estimation Algorithms for Precise Tracking of a Re-Entry Vehicle and its Impact Point Prediction

This paper studies the problem of tracking a re-entry vehicle (RV) in order to predict its impact point on the ground. Re-entry target dynamics combined with super-high speed has a complex non-linearity due to ballistic coefficient variations. However, it is difficult to construct a database for the...

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Bibliographic Details
Main Authors: Kyung Rok Moon, Tae Han Kim, Taek Lyul Song
Format: Article
Language:English
Published: Korean Space Science Society (KSSS) 2012-12-01
Series:Journal of Astronomy and Space Sciences
Subjects:
ballistic coefficient
coefficient β model-based interacting multiple model-extended Kalman filter
gamma augmented filter
gamma bootstrapped filter
re-entry vehicle
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2012/v29n4/OJOOBS_2012_v29n4_363.pdf

Internet

http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2012/v29n4/OJOOBS_2012_v29n4_363.pdf

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