传统光电跟踪设备对于多传感器数据源的选择, 大多采取手动或按优先级进行切换的控制方式。为了克服切换机制带来的滞后性、随意性以及切换时的阶跃效应, 提出了多源数据融合控制策略。首先计算自适应可变跟踪门规划关联区域剔除野值; 然后根据关联区域设计分时分级融合结构; 最后通过构造隶属度函数计算融合加权因子。经实际应用验证, 这种融合控制策略提高了跟踪精度, 减小了超调量, 增强了系统的鲁棒性、可靠性和实时性。

When selecting data source from the multi-sensor information sources for the traditional optoeletronic tracking devices, the modes of manual control or switching according to the priority are usually used.In order to overcome the hysteresis, randomness and step effect of the switching mechanism, a multi-source data fusion control strategy is proposed. First, the adaptive variable tracking gate is calculated for planning the related areas, and the outliers are eliminated.Thenthe hierarchical integration structure is designed according to the related areas.Finally, the membership function is used to calculate the fusion weighting factor. The practical application has showed that, this integration control strategy can improve the tracking accuracy, reduce the overshoot, and enhance the robustness and reliability.