一种自适应目标机动的α β γ滤波算法  

Multiple model algorithm based on α-β-γ filter for tracking maneuvering targets

作　　者：张瑞[1] 谢敏[1] 雷瑛[1] 

机构地区：[1]西安电子工程研究所,陕西西安710100

出　　处：《大众科技》2015年第11期12-14,19,共4页Popular Science & Technology

摘　　要：针对传统的α-β-γ滤波算法在跟踪机动目标时性能下降的问题,文章提出一种自适应目标机动的α-β-γ滤波算法。该算法是基于多模型混合估计的思想,用残差构建模型失配度,进而迭代更新模型概率,使跟踪滤波器自适应地调节,达到更好的跟踪效果。仿真结果表明,与传统α-β-γ滤波算法相比,对于机动性较强的目标,该算法具有更好的跟踪性能。In consideration of the performance degradation of traditional α-β-γ filter in tracking maneuvering targets, a multiple model algorithm based on α-β-γ Filter is presented. It is based on the method of multiple model estimation, using the residual to update probabilities of models and adjust the filter adaptively. The simulation results show that compared with the traditional α-β-γ filter, this algorithm has better tracking performance for maneuvering targets.

关 键 词：Α-Β-Γ滤波 机动目标跟踪 多模型混合估计 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]