基于数据质量评估的自适应序贯航迹关联算法

针对传感器精度下降时的航迹关联问题, 提出了一种基于数据质量评估的自适应序贯航迹关联算法。将实时数据质量评估结果引入关联门限的调整, 结合熵值法和效用函数法对传感器性能和局部滤波质量两项指标分别进行评估, 构建了两项指标与算法显著性水平之间的模糊关系, 实现关联门限的自适应调整。仿真表明, 在局部传感器精度下降的场景下, 改进算法的关联性能优于对比算法, 且良好的关联效果有益于融合精度的提升, 在目标机动的情况下也具有良好的适应性。

Adaptive sequential track-association algorithm based on data quality assessment

In order to solve the track-association problem when sensor suffers declined accuracy, an adaptive sequential track-association algorithm based on data quality assessment is proposed. Real-time data quality evaluation results are introduced into the adjustment of correlation threshold. The entropy method and the utility function method are combined to evaluate the performance of sensor and the quality of filtering, and the fuzzy control relationship between two indexes and the significance level is constructed, so as to realize the adaptive adjustment of correlation threshold. The simulation results show that the performance of the improved algorithm is better than that of compared algorithm in the situation of declined sensor accuracy, and the good correlation effect is beneficial to the improvement of fusion accuracy.It also has good adaptability in the case of maneuver target tracking.