| 一种基于数据融合的目标跟踪方法 |
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| 引用本文： | 顾保国,陈阳.一种基于数据融合的目标跟踪方法[J].重庆大学学报(自然科学版),2022,45(11):127-134. |
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| 作者姓名： | 顾保国 陈阳 |
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| 作者单位： | 中国人民解放军 63726部队, 银川 750004;华东电子工程研究所, 合肥 230088 |
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| 基金项目： | 国防科技自主科研资助项目(2019ZY012504) |
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| 摘 要： | 为了提高相控阵波束的跟踪能力,基于多设备源的测量信息,提出一种基于数据融合的目标跟踪方法。该方法依次进行数据外推时延修正,数据检择,坐标变换,再进行测量数据的平滑滤波处理,最后利用动态加权的数据融合处理方法,提高了目标的跟踪预测性能。仿真实验结果表明,提的基于动态加权数据融合的目标跟踪方法具有较高的目标跟踪精度,满足系统要求。
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| 关 键 词： | 数据检择 数据外推时延修正 坐标变换 跟踪滤波 数据融合 |
| 收稿时间： | 2021/6/21 0:00:00 |
A target tracking method based on data fusion |
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| GU Baoguo,CHEN Yang.A target tracking method based on data fusion[J].Journal of Chongqing University(Natural Science Edition),2022,45(11):127-134. |
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| Authors: | GU Baoguo CHEN Yang |
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| Institution: | Unit 63726 of PLA, Yinchuan 750004, P. R. China; East China Research Institute of Electronic Engineering, Hefei 230088, P. R. China |
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| Abstract: | In order to improve the phased array tracking performance, a target tracking method based on data fusion is presented for measurement information of multisource. In the method, data extrapolation and time delay correction, data detection, coordinate transform are carried out in turn. Then smooth filtering for measurement data is carried out and data fusion through dynamic weighted, which improves tracking and predicting performance, is used at last. The simulation result shows that the proposed target tracking method based on dynamic weighting data fusion has higher accuracy of tracking, which can meet requirement of system. |
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| Keywords: | data detection data extrapolation and time delay correction coordinate transform smoothing filtering data fusion |
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