Target Tracking Based on Amendatory Sage-Husa Adaptive Kalman Filtering

DOI

10.2991/esac-15.2015.23How to use a DOI?

Keywords

Sage-Husa adaptive Kalman filter, Target tracking, Kalman filter, Amendment

Abstract

Aiming at the boundedness of target tracking inaccuracy, even the lost of tracking caused by the error accumulation and state mutation in the aspect of target tracking using Kalman filter. The paper proposes a novel algorithm which is based on the modified Sage-Husa adaptive Kalman filter. This algorithm adjusts the predicted value of Sage-Husa adaptive Kalman filter in time by setting judgment and amendment rules, which can inhibit accumulation of error on target tracking and improve the filter precision in steady state and strengthen the stability and adaptability of filter. The experimental results show that the effectiveness of the novel algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuan Luo
AU  - Lei Ren
PY  - 2015/08
DA  - 2015/08
TI  - Target Tracking Based on Amendatory Sage-Husa Adaptive Kalman Filtering
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 91
EP  - 94
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.23
DO  - 10.2991/esac-15.2015.23
ID  - Luo2015/08
ER  -