一种多约束条件下的分布式多传感器协同规划算法

在编队作战中,如何对分布在不同作战平台、拥有众多约束条件的传感器进行协同规划,具有重要的研究意义。基于协方差控制的基本思想,运用分布式多传感器航迹融合算法计算协方差矩阵,分析可能存在的多种作战约束条件,提出一种多传感器多目标分配步骤和方法。算法可针对动态变化的目标期望协方差和约束条件,及时地调整分配策略,在保证协方差控制作用的同时,着眼于提高分配结果的稳定性,并对此进行仿真。仿真结果证明了算法的合理性和有效性。

Distributed Multi-sensor Cooperative Assignment Algorithm in Multi-constraint Conditions

In naval fleet cooperative combat, cooperative assignment of distributed multi-sensor in multi-constraint conditions has important study value. Multiple constraints that might exist in combat condition are analyzed and a multi-sensor multi-target allocation algorithm is proposed based on the covariance control theory, in which the targets covariance matrixes are computed by the distributed multi-sensor track fusion algorithm. The assignment results can be changed in real time according to the varying desired covariance and constraints of targets. In the covariance controlling at the same time, the algorithm focuses on enhance the stability of the assignment. Finally the simulation results show that the algorithm is effective.