Simulation Analysis on Optimal Guidance Law of Maneuvering Target Based on Multiple Model Adaptive Estimator
Shengnan Fu, Shixiang Liu, Qunli Xia
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.383How to use a DOI?
- Kalman filter;Multiple model adaptive Estimator(MMAE);Optimal guidance law;Sine- maneuvering;Matlab simulation.
- 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.
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 -