一种带渐消因子的自适应“当前”统计模型

A new adaptive "CS" model with a fading factor

光电经纬仪对目标跟踪时,目标突发机动时的跟踪效果较差。为此设计了一种带渐消因子的自适应"当前"统计模型。引入渐消因子增强其对突发机动的自适应跟踪能力和其鲁棒性,改进的"当前"模型改善了普通"当前"模型对一般机动目标的跟踪性能。仿真结果表明,和一般"当前"统计模型算法相比,本文提出的算法明显提高了对目标突发机动的跟踪性能。

Tracking the target with sudden maneuver by using photoelectric theodolite has poor performance. For that, a new algorithm which uses an adaptive current statistical model （ ACS ） with a fading factor is proposed. By introducing a fading factor of Strong Tracking Filter （STF） to such model, its ability of tracking target＇ s sudden maneuver and its robust would be improved. And the adaptive CS has better performance for tracking the common maneuvering target. The Monte-Carlo simulation indicates that, when the target has a sudden maneuver, this algorithm would have a much better performance than common CS model.