基于运动特性约束的中段目标群角轨迹关联算法

An Angle Track Association Algorithm for Midcourse-Complex Using Dynamic Characteristics Constraint

中段目标群角轨迹关联问题是天基跟踪监视系统的核心和难点之一。常用的基于倾角差关联方法仅利用了目标与传感器之间的几何约束方法,几何约束方法具有计算简单、不依赖目标运动特性的优点,但关联性能受观测几何关系的影响大,在中段目标群场景下关联效果不理想。该文提出一种基于中段目标群运动特性的角轨迹关联算法。首先,给出中段目标群的运动模型和角轨迹测量模型。其次,构建中段目标群的似然函数作为代价因子,采用基于二维指派的角轨迹关联算法。接下来进行Mont Carlo仿真试验,从角轨迹长度、视线测量误差、弹头诱饵间距三方面对算法性能进行验证。结果表明,该关联算法可以获得良好的中段目标群角轨迹关联性能。

Angle track association for midcourse-complex is a core issue for Space Tracking and Surveillance System. The common used method is based on hinge angle difference constraint which only utilizes the geometric constraint between targets and observers. This method is computed simply and dose not depend on kinetic characteristics of target. However,the performance of this method is sensitive to the relative position between targets and sensors. It obtains a poor performance for midcourse-complex. This paper proposed an angel track association algorithm for midcourse-complex using dynamic characteristics constraint. Firstly,dynamic model and measurement model of midcourse-complex are presented.Then,using likelihood function of midcourse-complex as the assignment cost,a 2 dimensional assignment algorithm is used for angel track association. Performance has been evaluated through Monte Carlo simulations from 3 aspects including length of angle track,line-of-sight error and distance between warhead and decoys. Results illustrate the effectiveness of this proposed method.