面阵图像传感器交汇测量原理及误差分析

Principle and Error Analysis of Intersection Measuring with Area Array Image Sensor

分析了面阵传感器相对于线阵传感器在轻武器报靶方面的优势,阐述了面阵传感器交汇测量的原理,建立了相应的数学模型,数学模型只有代入计算,无复杂的迭代计算过程,简单易算。对模型的焦距测量误差和图像细分误差进行相应的计算和分析。通过叠加焦距误差、图像细分误差和相机初始角度误差的影响,进行了综合误差分析,通过实验和统计发现,其相对误差能够达到0.5%,能够满足系统1%的相对误差指标要求。

The advantage of target measurement with area array image sensor for small arms is analyzed. The principle of the intersection measuring is presented. Then the mathematic model is constructed. There is not iterative calculation but only instead calculation in the model .So the model is simple. At last the focal length and image subdivision are computed and analyzed. Through experiment and synthesis analysis for the effect of the mixed focal length, image subdivision and the initial angle error, the relative error is up to 0.5% by statistic calculation. The precision can meet the 1% relative error demand of the system