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1.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
2.中国科学院大学, 北京 100039
3.吉林大学 通信工程学院, 吉林 长春 130012
周俊鹏 (1984-), 男, 吉林吉林人, 博士研究生, 2008、2015年于长春工业大学分别获得学士、硕士学位, 现为中国科学院长春光学精密机械与物理研究所博士研究生, 主要从事电子学设计、动机座光电系统伺服控制、快速反射镜伺服控制等技术的研究。E-mail:zhoujunpeng.g123@163.com ZHOU Jun-peng, E-mail: zhoujunpeng.g123@163.com
[ "李焱 (1980-), 男, 吉林长春人, 副研究员, 2003年于吉林大学获得学士学位, 2009年于中国科学院长春光学精密机械与物理研究所获得博士学位, 主要研究方向为电子学设计、舰载光电系统伺服控制、舰载光电对抗设备总体设计等技术研究。E-mail:liy211@163.com" ]
收稿日期:2016-04-18,
录用日期:2016-6-12,
纸质出版日期:2017-02-25
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周俊鹏, 陈健, 李焱, 等. 舰载光电跟踪设备的目标预测算法研究[J]. 光学精密工程, 2017,25(2):519-528.
Jun-peng ZHOU, Jian CHEN, Yan LI, et al. Research on target prediction algorithm of shipboard photoelectric tracking equipment[J]. Optics and precision engineering, 2017, 25(2): 519-528.
周俊鹏, 陈健, 李焱, 等. 舰载光电跟踪设备的目标预测算法研究[J]. 光学精密工程, 2017,25(2):519-528. DOI: 10.3788/OPE.20172402.0519.
Jun-peng ZHOU, Jian CHEN, Yan LI, et al. Research on target prediction algorithm of shipboard photoelectric tracking equipment[J]. Optics and precision engineering, 2017, 25(2): 519-528. DOI: 10.3788/OPE.20172402.0519.
舰载光电跟踪设备在跟踪百公里以上的目标时,由于受到障碍物干扰,目标有时可能从视场中丢失,需采用记忆跟踪算法对目标的未来时刻位置进行预测,重新找回目标。常规的CA、CV模型预测目标时忽略了残差,记忆跟踪时间短,从而造成预测目标不够精确。针对以上问题,提出了Kalman目标预测模型,延长记忆跟踪时间。首先,由船地坐标转换公式推导了甲板坐标系下船摇速度,前馈到伺服控制系统速度回路中,保证视轴自稳定,同时提高跟踪精度;其次,概述了CA、CV、Kalman目标预测模型;最后,重点论述了3种目标预测模型记忆跟踪和实时雷达引导二维位置信息之间的关系。试验结果表明,本文由于引入了Kalman目标预测模型,使得记忆跟踪时间比传统的CA、CV模型的预测目标时间提高了一个数量级。解决了工程中舰载光电跟踪设备受船摇影响时跟踪精度低和记忆跟踪时间短的问题。
When 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.
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