分布式被动传感器轨迹关联算法性能分析

轨迹关联算法性能分析是天基光学被动跟踪系统中尚待解决的一个重要问题，给出针对基于倾角差准则的二维指派轨迹关联算法的性能分析新方法。该方法首先对在正确关联和错误关联条件下的倾角差统计量的概率分布进行准确建模，接着分析关联算法的等价条件，最后推导关联算法的理论关联性能。不同条件下的理论分析性能与Monte Carlo仿真结果表明，角度测量误差、目标间距、目标间的射向差别等都是影响轨迹关联性能的重要因素，这为工程应用提供了参考。

Performance analysis of distributed passive sensor track association algorithm

Performance analysis for the track association algorithm is an unsolved issue in the space-based optical passive tracking system. A novel method is proposed to analyze the performance of the two dimensional assignment track association algorithm based on the hinge angle difference statistic. Firstly, the probability distribution of the hinge angle difference statistic is modeled exactly in the correct and the wrong association situation, respectively. Then, the equivalent condition of the association algorithm is analyzed. Finally, the theoretic performance of this algorithm is derived. Theoretic performance and Monte-Carlo simulation results show that the track association performance is mainly affected by the measurement angle errors, the separation and the direction difference between targets. It seems that this research can provide references to engineering applications.