基于运动特性约束的中段目标群角轨迹关联算法

发布时间：2019-01-06 13:13

【摘要】：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。
[Abstract]:It is one of the core and difficult problems of space-based tracking and monitoring system to correlate the angular trajectory of middle target group. The commonly used correlation method based on dip angle only uses the geometric constraint method between the target and the sensor. The geometric constraint method has the advantages of simple calculation and independent of the target's motion characteristics, but the correlation can be greatly affected by the observed geometric relationship. In the middle target group scene, the correlation effect is not ideal. In this paper, a angular trajectory correlation algorithm based on the motion characteristics of middle target group is proposed. First, the motion model and angular trajectory measurement model of the middle target group are given. Secondly, the likelihood function of the middle target group is constructed as the cost factor, and the angular trajectory correlation algorithm based on two-dimensional assignment is adopted. Then the Mont Carlo simulation test is carried out to verify the performance of the algorithm from three aspects: angular trajectory length, line of sight measurement error and warhead decoy spacing. The results show that the proposed algorithm can achieve good correlation performance.
【作者单位】：国防科技大学电子科学与工程学院;
【基金】：国家自然科学基金(61605242)
【分类号】：TJ86;TP212

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