双波段红外目标数据融合模型的研究

从跟踪性能,计算的复杂性,以及应用范围等方面对双波段红外传感器的三种融合模型进行比较,得出来自同一平台上两个红外传感器的数据,在各传感器没有各自的数字处理机的情况下,点迹融合模型较其余两种模型实用的结论。最后给出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的仿真结果,证明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,从实际应用上进一步说明算法的有效性。

Data Fusion Model of Dual-Band IR Target

It has been obtained by comparing three fusion models of the Dual-band IR target in tracking performance, the complexity of computation and the field of the app lication that the measurement fusion model is more practical than the others if the data come from the same platform. The data are fused by the maximum likelihood algorithm based on measurement fusion model. At last the result of simulation is presented, which proves the availability of the algorithm in practice. Using the model and the algorithm we can improve the precision of the state of the target, decrease the error of the measurement.