基于蚁群算法的多传感器目标分配模型

Model for multi-sensor targets assignment based on ant colony algorithm

根据现代信息战的特点,分析了多传感器目标分配在数据收集和融合体系中的重要意义以及当前分配算法存在的问题。针对更加灵活地多对多分配问题,提出了一种带威胁系数和效用衰减度的循环分配方法,确立了新的目标函数,使传感器资源更多地流向威胁度高的目标,更加符合实际应用。针对目标分配这种NP问题,结合新的分配方法,建立了蚁群算法模型,通过算例仿真验证了该分配模型的可行性。

The significance of multi-sensor targets assignment in data collection and data fusion system was introduced. Then the shortage of current assignment algorithm was analyzed, and a new target function and circular assignment algorithm with threat coefficient and avail attenuator were introduced, which could make sensor resource assign to important targets. Finally, the model of ant colony algorithm was built according to the new assignment algorithm, which was verified by emulator.