基于参数自适应CS模型的机动目标跟踪算法

为提高对机动目标的跟踪精度,提出一种基于参数自适应当前统计(CS)模型的跟踪算法。即利用加速度增量与位移的关系,自适应调整加速度方差,根据量测残差的统计距离判别目标机动特性,并调整模型的机动频率和滤波器增益系数,提高算法模型与目标机动模式的匹配程度。仿真结果表明,基于参数自适应CS模型跟踪算法能够较好地改善对强机动目标的跟踪性能。

A Maneuvering Target Tracking Algorithm Based on Parameter Adaptive Current Statistical Model

In order to improve the tracking precision for maneuvering target,the tracking algorithm based on parameter adaptive Current Statistical (CS)model is built. In this algorithm,according to the relationship of acceleration increment and displacement,the acceleration variance is adjust adaptively. Based on measurement residual,the maneuvering characteristic is estimated and the maneuvering frequency and gain coefficient are adjust,then the algorithm model is compatible with maneuvering model completely. The simulations show that the improved algorithm has better tracking precision for high maneuvering target.