| Issue |
MATEC Web Conf.
Volume 160, 2018
International Conference on Electrical Engineering, Control and Robotics (EECR 2018)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 4 | |
| Section | Power Electronics and Power Drives | |
| DOI | https://doi.org/10.1051/matecconf/201816002008 | |
| Published online | 09 April 2018 | |
Study on Maneuvering Target On-axis Tracking Algorithm of Modified Current Statistical Model
1
China Shipbuilding Industry Corporation 713 Research Institute Zhengzhou, China
2
The School of Information Engineering of Zhengzhou UniversityZhengzhou, China
Aiming at the model adaptability and the filter precision on the maneuvering target on-axis tracking, The paper put forward a filter algorithm based on modified current statistical model. The algorithm can enhance the model adaptability to the weak and non-maneuvering maneuvering target. The method uses Unscented Kalman Filter to obtain the importance density function of each particle, improves the Particle Filter estimation performance.By applying the proposed algorithm to the on-axis tracking system, the simulation results demonstrate that algorithm can effectively improve filter performance and tracking precision.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.