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Research on target prediction algorithm of shipboard photoelectric tracking equipment
Zhou, J.-P.; J. Chen; Y. Li; Y.-X. Dong; J. Chen and Y. Zhao
2017
Source PublicationGuangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume25Issue:2
AbstractWhen shipboard photoelectric tracking equipment traces target more than 100 km away from it, because of disturbance of barrier, target is often lost from field of view.Under this condition, memory track algorithm shall be adopted to predict location of target at future time to re-find target. Conventional CA and CV models ignore residual error when predicting target, and memory track time is short, which causes insufficient accuracy of target predicted. In consideration of above problems, Kalman target prediction model was put forward to lengthen memory track time. Firstly, this paper derived boat-swing velocity under deck coordinate system from ship-earth coordinate transformation formula, performed feedforward to velocity loop of servo control system to guarantee self-stabilization of optical axis and improve tracking accuracy simultaneously; secondly, CA, CV and Kalman target prediction models were described; finally, 2-dimension position information relationship between memory tracking of 3 kinds of target prediction models and real-time radar guidance location was mainly discussed. Test results show that compared with traditional CA and CV models, target prediction time of proposed method is improved more than an order of magnitudes, that's because Kalman target prediction model is introduced in this paper. The problem in project that tracking accuracy of shipboard photoelectric tracking equipment will be low and memory tracking time will be short when it is affected by boat-swing is solved. 2017, Science Press. All right reserved.
Indexed Byei
Language中文
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59494
Collection中科院长春光机所知识产出
Recommended Citation
GB/T 7714
Zhou, J.-P.,J. Chen,Y. Li,et al. Research on target prediction algorithm of shipboard photoelectric tracking equipment[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2017,25(2).
APA Zhou, J.-P.,J. Chen,Y. Li,Y.-X. Dong,&J. Chen and Y. Zhao.(2017).Research on target prediction algorithm of shipboard photoelectric tracking equipment.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,25(2).
MLA Zhou, J.-P.,et al."Research on target prediction algorithm of shipboard photoelectric tracking equipment".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 25.2(2017).
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