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| 目标对载机准确定位的数据融合方法的分析 |
| Application of data fusion in the positioning of target |
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| DOI：10.3969/j.issn.1671-5322.2004.02.002 |
| 中文关键词: 红外 雷达 Kalman滤波 数据融合 |
| 英文关键词: IR Radar Kalman filter Data fusion |
| 基金项目: |
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| 中文摘要: |
| 主要研究在机载光电跟踪系统中,红外传感器和传统的雷达传感器测量信息的融合.基于Kalman滤波的数据融合理论,建立目标对载机准确定位的物理模型和极坐标下的数学模型,研究观测值加权融合算法、观测状态向量合并和状态估值融合反馈3种算法,并进行了协方差分析比较,通过仿真实验表明:观测值加权融合算法的性能更优于其它两种算法. |
| 英文摘要: |
| The paper studies the theories, algorisms and applications of data fusion of the measurements of IR sensors and Radar sensor in the airborne E-O system.The maneuvering models and mathematical models in the polar coordinate of the accurate position of the target have been studied. The most important thingis the compare of measurement fusion models and the track-to-track fusion algorithm by the analysis of covariance. At last, the conclusions are given. |
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