Abstract: Time invariant models describing constant velocity and constant acceleration movements in two dimensions are presented. Mobile position tracking is realized for position estimation or prediction using steady state Kalman filter, concluding that the obtained estimates are very close to the real position.
Keywords: Kalman filter, steady state, position estimation, prediction.
Title: MOBILE POSITION ESTIMATION AND PREDICTION USING STEADY STATE KALMAN FILTER
Author: N. Assimakis, G. Tziallas, M. Adam, A. Polyzos, C. Papanastasiou
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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