Abstract:

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.