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研究了存在系统误差条件下分布式多目标航迹关联问题,以异地配置的2D组网雷达为背景,分析了时变系统误差对雷达上报航迹的影响,将误差影响下的目标定位看做一种认知不确定性,并给出两种用区间灰数描述这一不确定性的方法。由此提出了一种航迹关联算法,该算法以区间相离度作为衡量航迹间差异信息的测度,建立灰色关联分析模型,并根据灰关联度排序给出航迹关联对。通过对算法的约束条件进行深层次分析,给出了使用算法的先决条件。在常见系统误差环境下的蒙特卡罗仿真结果表明,算法具有良好的抗差性能和较广泛的适用性。
The distributed multi-target track association problem under the condition of systematic error is studied. The influence of time-varying systematic errors on the reported flight path is analyzed based on the 2D networked radar in different places. The target location under the influence of error is considered as A Cognitive Uncertainty and Two Methods of Using Interval Gray Numbers to Describe This Uncertainty. Therefore, a trajectory association algorithm is proposed. The algorithm takes the interval dissociation as the measurement of the difference information between trajectories, establishes a gray correlation analysis model, and gives the trajectory association pairs according to the gray correlation ranking. Through the deep analysis of the constraints of the algorithm, the preconditions for using the algorithm are given. The Monte Carlo simulation results show that the algorithm has good robustness and wide applicability in the common system error environment.