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

作　　者：杨子鹏[1,2] 张进[1,2] 蒋平[2] 

机构地区：[1]中国科学院光电技术研究所,成都610209 [2]中国科学院研究生院,北京100039

出　　处：《仪器仪表用户》2009年第3期100-101,共2页Instrumentation

摘　　要：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.

关 键 词：机动目标跟踪 强跟踪滤波器 渐消因子 “当前”统计模型 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]