灰色预测优化模型及其在光电跟踪中的应用

Grey Prediction Optimized Model and Application in Optical-electric Tracking

针对光电多目标切换跟踪中的预测跟踪问题,提出了一种基于灰色理论的目标位置预测方法。以传统的灰色模型为基础,充分考虑光电跟踪的特点,分别从原始数据预处理、背景值和时间响应函数三个方面对GM(1,1)模型和GM(1,1)幂模型进行优化,并修正了GM(1,1)幂模型中幂指数的确定方法,最终建立新陈代谢模型,将两者均运用到对光电跟踪目标的位置预测过程中,实验结果表明,优化后的模型预测精度更高,可应用于光电预测跟踪。

Concerning the prediction tracking problem in optical-electric multi-target switching tracking, a position prediction method based on grey theory is put forward. Based on the classical grey model and specialty of optical-electric tracking, the GM（1,1） model and GM（1,1） power model in the directions of data preprocessing, background value and time response function are optimized. And the determination method of power built and applied in position prediction process of optical-electric sion of optimized model is higher. The results are of great value value is also corrected. At last, the metabolism model are tracking. Simulated results show that the prediction preci- to the opticabelectric prediction tracking.