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- Title
Application of adaptive Kalman filter in rocket impact point estimation.
- Authors
YAN Xiao-long; CHEN Guo-guang; BAI Dun-zhuo
- Abstract
In order to measure the parameters of flight rocket by using radar, rocket impact point was estimated accurately for rocket trajectory correction. The Kalman filter with adaptive filter gain matrix was adopted. According to the particle trajectory model, the adaptive Kalman filter trajectory model was constructed for removing and filtering the outliers of the parameters during a section of flight detected by three-dimensional data radar and the rocket impact point was extrapolated. The results of numerical simulation show that the outliers and noise in trajectory measurement signal can be removed effectively by using the adaptive Kalman filter and the filter variance can converge in a short period of time. Based on the relation of filtering time and impact point estimation error, choosing the filtering time of 8-10 s can get the minimum estimation error of impact point.
- Subjects
ROCKETS (Aeronautics); KALMAN filtering; FIX-point estimation
- Publication
Journal of Measurement Science & Instrumentation, 2015, Vol 6, Issue 3, p212
- ISSN
1674-8042
- Publication type
Article
- DOI
10.3969/j.issn.1674-8042.2015.03.002