基于机动检测的自适应实时时间配准算法

多传感器航迹数据的时间配准是分布式融合处理的前提之一。在几种常用时间配准算法的对比分析中发现，不同算法仅在某种目标运动模型条件下是最优的，而目前的研究大多采用固定某一种配准方法，难以保证目标复杂机动情况下的配准精度。因此提出基于机动检测的自适应实时时间配准算法。融合中心根据传感器航迹数据估计目标加速度以检测目标运动模型的变化，然后采用当前模型对应最优的时间配准算法。仿真结果表明，该算法能够有效降低整体的时间配准误差，性能优于各单一固定的算法。

Adaptive Real-Time Time Registration Algorithm Based on Target Maneuver Detection

The time registration of multi-sensor＇s track data is one of the premises in distributed fusion processing.When comparing several familiar time registration algorithm,it is found that they are optimal only in a certain target maneuver model.And in the most recent researches,a single fixed algorithm is taken respectively,so that the registration precision couldn＇t be ensured when target making complicate maneuve-ring.An adaptive real-time time registration algorithm based on target maneuver detection is proposed.The fusion center estimates target acceleration according to the sensor＇s track data to detect the changing of target＇s maneuver model,and then takes the corresponding optimal time registration algorithm.The simula-tion result shows that the algorithm can decrease the whole time registration error effectively and its perform-ance excels other single fixed algorithm.