双波段红外目标数据融合的研究

The Study on Data Fusion of Dual-Band IR Targets

从跟踪性能 ,计算的复杂性 ,以及应用范围等方面综合考虑 ,得出了来自同一平台上两个红外传感器的数据 ,在各传感器没有自己的数字处理机的情况下 ,点迹融合模型较航迹融僵和融合跟踪模型实用的结论。在点迹融合模型的基础上 ,用极大似然融合算法对点迹进行融合处理 ,在理论上证明了该算法用于此种模型能提高目标状态信息的估计精度 ,降低测量误差。最后给出了本算法用于此种模型在计算机上的仿真结果 。

The data fusion technolgy has been obtained by co ns idering of three fusion models of the Dual-band IR target in tracking performan ce, the complexity of computation and the field of the application of the measur ement fusion model is more practical than the others if the data come from the s ame platform. The data are fused by the maximum likelihood algorithm based on m easurement fusion model. Using this algorithm and the measurement fusion model, theoretically, we can improve the precision of the state of the target, and decr ease the error of the measurement. At last the result of simulation is presented , which proves the availability of the algorithm in practice.