多平台协同跟踪最优构型设计

Optimal Configuration Design for Multi-platform Collaborative Target Tracking

为解决被动、主被动多平台协同跟踪场景下最优构型设计问题,提出基于效能评价体系的多平台协同跟踪最优构型设计方法。推导被动、主被动多平台协同跟踪数学模型,选取可评价跟踪结果优劣的效能作为跟踪效能,并设计量化函数使跟踪效能量纲统一;利用层次分析法构建跟踪效能评价体系,推导效能评价值计算公式,为求取最优构型参数,建立最大化效能评价值,考虑构型参数取值范围以及通信速率为约束的最优设计问题;采用差分演化算法求解最优设计问题;仿真结果表明所提方法能够获取最优构型参数,完成跟踪效能评价值最优的构型设计。

To solve the optimal configuration design problem in passive and active passive multiplatform collaborative tracking scenarios,a multi-platform collaborative tracking optimal configuration design method based on effectiveness evaluation system is proposed.The mathematical model of passive and active passive multi-platform cooperative tracking is derived,and the effectiveness that can evaluate the tracking results is selected as the tracking effectiveness.A quantitative function is designed to unify the tracking effectiveness dimension;the analytic hierarchy process is used to construct a tracking effectiveness evaluation system,and a formula for calculating the effectiveness evaluation value is derived.In order to obtain the optimal configuration parameters,establish a maximum effectiveness evaluation value,consider the optimal design problem constrained by the range of configuration parameters and communication rate;then,the differential evolution algorithm is used to solve the optimal design problem.The final simulation results show that the proposed method can obtain the optimal configuration parameters and complete the configuration design with the optimal tracking effectiveness evaluation value.