| 基于异类传感器的数据融合系统 |
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| 引用本文： | 李震,张冰,刘维亭,朱志宇.基于异类传感器的数据融合系统[J].船舶工程,2007,29(1):38-41. |
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| 作者姓名： | 李震 张冰 刘维亭 朱志宇 |
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| 作者单位： | 江苏科技大学,电子信息学院,镇江,212003 |
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| 摘 要： | 运用各种有源和无源探测设备在内的异类多传感器集成提供多种观测数据,同时通过不同传感器之间的关联来提高数据精度,可以得到关于目标的更多特征信息,从而为身份识别、态势估计提供更多的依据.基于异类传感器的数据融合系统实现了雷达、ESM等异类传感器的数据关联与融合.仿真结果表明:系统能提供更高精度的数据,获得目标的更多特征信息,并可对目标实施有效识别.
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| 关 键 词： | 舰船 异类传感器 数据关联 数据融合 目标识别 |
| 文章编号： | 1000-6982（2007）01-0038-04 |
| 修稿时间： | 2005-08-10 |
Data fusion system based on dissimilar sensors |
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| LI Zhen,ZHANG Bing,LIU Wei-ting,ZHU Zhi-yu.Data fusion system based on dissimilar sensors[J].Ship Engineering,2007,29(1):38-41. |
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| Authors: | LI Zhen ZHANG Bing LIU Wei-ting ZHU Zhi-yu |
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| Institution: | School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China |
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| Abstract: | By all kinds of dissimilar sensors of active and passive detectors working together to provide different observed data and the data relation of different sensors to improve the data accuracy, more feature information of targets can be obtained. In this way more evidences to identification and situation estimation will be provided. The data fusion system based on dissimilar sensors has realized the relation and fusion of data from dissimilar sensors of radar, ESM and etc. The simulation results indicate that the system can provide higher accuracy data, get more feature information of targets and perform effective target identification. |
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| Keywords: | naval vessels dissimilar sensors data relation data fusion target identification |
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