文献类型：期刊文献

中文题名：一种基于H_∞滤波的模糊变结构交互多模型算法

英文题名：Fuzzy Variable Structure Interacting Multiple Model Algorithm Based on H_∞ Filter

作者：马海平[1];陈子栋[1]

机构：[1]绍兴文理学院物理与电子信息系

年份：2008

卷号：36

期号：2

起止页码：245

中文期刊名：电子学报

外文期刊名：Acta Electronica Sinica

收录：CSTPCD、、EI(收录号：20081511198216)、北大核心2004、Scopus(收录号：2-s2.0-41749096817)、CSCD2011_2012、北大核心、CSCD

语种：中文

中文关键词：机动目标跟踪;H∞滤波;交互多模型;模糊变结构

外文关键词：maneuvering target tracking; H∞ filter; interacting multiple model; fuzzy variable

中文摘要：为提高对机动目标的跟踪效果,本文提出了一种基于H∞滤波的模糊变结构交互多模型算法.该算法采用H∞滤波器作为模型条件滤波器,通过调节其参数来增强对外界干扰的鲁棒性,提高滤波性能和精确度.同时把交互多模型(IMM)算法的模型概率作为模糊推理系统的输入,利用模糊逻辑推理优化模型概率,实时改变模型数目和参数,减少模型之间竞争,实现变结构功能.实验仿真结果表明,本文提出的算法比标准IMM算法具有更高的跟踪精确度.

外文摘要：In order to have a good performacne for maneuvering target tracking,A fuzzy variable structure interacting multiple model （FVSIMM） algorithm based on H∞ filter is proposed in this paper. It introduces H∞ filter as model-conditional filter, which keeps its robustness by constantly adjusting parameter, to improve the performance and the precision. Meanwhile, the algorithm takes model probabilities of the IMM algorithm as the input of fuzzy inference system. By the fuzzy logic inference to update modal probabilities,it adjusts the number of models and paramcters in real-time, reduces excessive competition,and realizes variable structure function. The simulation results indicate that,the algorithm has higher tracking accuracy than standard IMM algorithm.