基于波位聚类的相控阵雷达群目标调度模型

如何有效分配有限的能量和时间资源,从而实现大量密集群目标的跟踪测量,是相控阵雷达资源调度面临的难点问题。在采用基于最小期望时间和时间槽优先占用的自适应资源调度模型的基础上,论述了基于波位动态聚类及分区识别算法的相控阵雷达群目标调度模型,详细描述了群目标调度流程图。群目标调度模型根据距离门宽度、方位俯仰波束宽度、目标速度、航迹预测误差和点迹测量误差等确定群目标的分区位置及大小,自动实现群目标的聚类和跟踪。仿真分析表明:该模型能够适应目标群的动态演化过程,实现群内外所有目标的独立跟踪,有效节约群目标跟踪时的资源开销,并已在实际工程应用中得到了验证。

A Scheduling Model Based on Beam Clustering for Group Targets for Phased Array Radars

Allocation of limited energy and time for tracking of dense group targets has been a challenge in resource scheduling for phased array radars.By using an adaptive resource scheduling model, which is based on minimum expected time and time slot preempting, a scheduling model based on dynamic clustering and subarea identifying algorithm for tracking group targets is discussed.A detailed scheduling flowchart is described.The subarea location and size are determined by range gate width, azimuth beamwidth, elevation beamwidth, velocity, flight path reckon error, single point error, etc.Clustering and tracking of group targets are automatically implemented.Simulation analysis confirmed that the model adapted to group targets evolving process in separate tracking of all targets within or out of a group and resource spending was saved effectively.The model was validated by a real project.