一种粗-精结合的航天侦察航迹关联算法

A Track Correlation Algorithm of Space-Based Reconnaissance Based on Rough and Precise Correlations

航天侦察中光学成像侦察能够获得精确的目标方位信息,而电子侦察能够获得准确的目标属性特征,为综合利用二者的特性来对航迹进行关联,提出一种基于粗-精结合的航迹关联算法。该算法通过方位信息对目标航迹进行粗关联,通过多维属性信息对目标进行精关联,最终得到航迹关联结果。分析了航天侦察传感器的时空对准方法,给出了多因素模糊综合决策航迹关联的具体步骤,并通过仿真实验对算法性能进行了验证。结果表明,提出的算法能够较好地解决航天侦察手段的航迹关联问题,与JPDA方法相比,该方法具有较高的关联正确率。

As for the space-based reconnaissance, the optical reconnaissance can achieve the precise target azimuth information, and the electronic reconnaissance can achieve the precise target attributes. To make a track correlation by use of these characteristics, this paper proposes a track correlation algorithm based on the rough and precise correlations. The rough correlation is firstly conducted via the azimuth information, then the precise correlation model is conducted via the multi-dimensional attributes, and finally the results are achieved. The temporal and space alignment method of space-based reconnaissance sensors is given, and the track correlation algorithm based on multi-factor fuzzy comprehensive decision is presented in detail. Simulations are made to verify the performance of the proposed algorithm. Results show that the proposed method can solve the problem of track correlation of space-base reconnaissance equipments well, and it has a higher correlation accuracy compared to the traditional JPDA algorithm.