摘要
为了解决在强干扰下的目标跟踪问题,本文基于H_∞滤波和数据融合的思想提出一个多传感器跟踪算法。与卡尔曼滤波算法相比,本文提出的方法具有较高的滤波精度和较强的鲁棒性。最后的仿真表明了该算法的优良性能。
Proposes a tracking algorithm based on the theory of H∞ filter and data fusion in order to solve the problem of target tracking under the background of strong interference. Compared with Kal-man filter, the method of combination of H filter and data fusion can improve the tracking accuracy and robustness of the system greatly. Simulation results show its perfect filtering capability.
出处
《华东船舶工业学院学报》
2003年第5期52-56,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
基金
跨行业预研基金(编号51407030401CB0203)
关键词
H∞滤波
数据融合
目标跟踪
H88888 filter
data fusion
target tracking
