数据融合在目标对载机准确定位中的应用

Application of Data Fusion in the Positioning of Target

基于卡尔曼滤波的数据融合理论在机载光电跟踪系统中的应用,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、观测状态向量合并和状态估计融合反馈三种算法,并进行协方差分析比较,仿真实验结果表明,观测值融合算法的性能优于其它算法。

The paper studies the theories,algorithm and applications of data fusion of the measurements (range and position) 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. What is the most important is the comparison of measurement fusion models and the track-to-track fusion algorithm by the analysis of covariance. And the conclusions are finally provided.