一种带渐消因子的偏差配准和目标跟踪算法

Deviation Registration and Target Tracking Algorithm with Fading Factor

在多平台多传感器跟踪系统中,提出一种带渐消因子的偏差配准和目标跟踪算法,结合配准偏差和目标状态形成扩维状态变量以构造新的偏差配准模型,在跟踪过程中引入渐消因子对突变的目标状态变量进行快速响应。仿真结果表明,该算法能使系统偏差估计迅速收敛到真实值附近,在偏差发生突变时,具有较好的自适应性,并且可以提高系统的整体跟踪精度。

In the multi-platform multi-sensor tracking system, this paper presents a deviation registration and target tracking algorithm with a fading factor. A new registration deviation model is built based on the deviation registration and the target stats, a fading factor is introduced to tracking process in order to improve the system robust, due to it can be fast response to abrupt change of states. Simulated results show that the algorithm can make the system deviation estimates rapidly converge to near the real value, and it has good adaptability and can improve the system＇s overall tracking precision when the deviation is mutation.