Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Simulation Analysis on Optimal Guidance Law of Maneuvering Target Based on Multiple Model Adaptive Estimator

Authors
Shengnan Fu, Shixiang Liu, Qunli Xia
Corresponding Author
Shengnan Fu
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.383How to use a DOI?
Keywords
Kalman filter;Multiple model adaptive Estimator(MMAE);Optimal guidance law;Sine- maneuvering;Matlab simulation.
Abstract
Aiming at randomly sine-maneuvering target tracking in the precision guided system, a fast and efficient algorithm is proposed for multiple model adaptive estimation. The filter bank corresponding to target maneuvering model was adopted to estimate the acceleration of the target, which can improve the estimated accuracy of the acceleration of the target. At the same time, the optimal guidance law based on sine-maneuvering target is adopted for the weave maneuver, in order to ensure the guidance law, the filter and the target maneuvering model remain in a consistent state, which can improve the guidance accuracy of the maneuvering target. By analyzing the simulation result, it shows that this method has good tracking performance, and multiple model adaptive filtering can be widely used in tracking in the precision guided system.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.383How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shengnan Fu
AU  - Shixiang Liu
AU  - Qunli Xia
PY  - 2016/03
DA  - 2016/03
TI  - Simulation Analysis on Optimal Guidance Law of Maneuvering Target Based on Multiple Model Adaptive Estimator
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1921
EP  - 1926
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.383
DO  - https://doi.org/10.2991/icmmct-16.2016.383
ID  - Fu2016/03
ER  -