机载激光通信终端的模糊变结构跟踪方法研究(英文)  被引量:8

Fuzzy Variable Structure Multiple-model Tracking for Airborne Laser Communication System

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作  者:曹阳[1,2] 荣健[2] 张红民[1] 包明[1] 王培容[1] 郭靖[1] 

机构地区:[1]重庆理工大学电子信息与自动化学院,重庆400054 [2]电子科技大学物理电子学院,成都610054

出  处:《光子学报》2014年第8期88-93,共6页Acta Photonica Sinica

基  金:National Natural Science Foundation of China(No.61205106);Scientific and Technological Research Program of Chongqing Municipal Education Commission(Nos.KJ120827)

摘  要:为避免经典固定模型集合中多模型算法造成的模型间竞争并减小计算量,基于有向图切换的变结构方法,建立有向图切换规则和较完备的模型集合.通过模糊逻辑推理得到模型集合中各模型的匹配度,以此代替传统多模型算法中的模式概率来计算,降低了计算的复杂度.采用核粒子滤波克服了标准粒子滤波没有考虑到的量测信息问题,即粒子能够通过核密度估计后朝着状态的后验概率密度的模型移动,使真实和估计模型之间的均方误差最小.仿真结果表明,基于模糊理论的变结构核粒子滤波算法能较大地提高跟踪准确度和减少计算量.High precision tracking system for airborne laser communication is usual to adopt multiple models algorithm with a fixed structure, which brings about unnecessary inter-competition among the amount of models and calculation burden. In order to resolve this problem, variable structure multiple-Model based on digraph switching and fuzzy inference was presented, graph switching rule and complete model set were established, the fuzzy inference mechanism was introduced to get matched degree for each filtering, the calculation complexity was decreased obviously. The Kernel particle Filter can move particles toward the posterior, root mean squared error between estimated and true model is minimum, the method could be introduced into fuzzy VSMM framework. Simulation results show that the algorithm improves the accuracy of tracking by reducing the competition of the models as well as reducing the computation burden.

关 键 词:机载激光通信 跟踪 交结构多模型 有向图切换 核粒子滤波 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]

 

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