面向空域/时域/功能混合模式的目标分组方法

Target Clustering Based on Mixed-Pattern of Space-Domain/Time-Domain/Function

提出了面向空域/时域/功能混合模式的目标分组方法,其结果为任务规划提供了包含空域、时域、功能的目标群体特征。该方法采用标准化方法对属性数据分类和扩展,按照不同类型属性数据分别建立属性差异度,提高了目标分组特征属性的可扩展性,解决了传统属性差异度难以适用于时域及功能属性的问题;在此基础上,综合考虑协同任务对目标分组各项属性的定性/定量要求、阈值约束及重要程度要求,构造了目标综合差异度,解决了某些属性不能直接加权的问题。仿真结果表明该方法能够快速有效地实现满足任务复杂要求的目标分组。

A method of target clustering based on mixed-pattern of space-domain/time-domain/function is proposed,which enabled the result of clustering to provide the colony characteristics of all targets for mission planning.To solve the problem that the existing discrepancy-degrees for attributes are unsuited for attributes in time-domain and function,the attributes are classified and expanded by using the standardization method,and the discrepancy-degree for attributes of different types are established separately.The standardization method on the establishment of the discrepancy-degree makes the characteristic-attributes scalable.Moreover,the integrated discrepancy-degree for targets is constructed considering the qualitative/quantitative requirements of attributes,threshold restrictions and importance-degree mentioned by the cooperative mission.Though some attributes are unsuitable for the weighted sum,the integrated discrepancy-degree solves the problem.Simulation results demonstrate the effectiveness of the approach and the satisfaction of complex demands for target clustering.