首页 | 本学科首页   官方微博 | 高级检索  
     

粒子滤波在MEMS陀螺仪初始对准中的应用
引用本文:崔铭.粒子滤波在MEMS陀螺仪初始对准中的应用[J].传感技术学报,2011,24(9):1275-1278.
作者姓名:崔铭
作者单位:中国民航大学智能信号与图像处理天津市重点实验室
基金项目:中央高校基本科研业务费中国民航大学2009年度专项项目(ZXH2009D003,ZXH2009B005)
摘    要:针对微机电系统MEMS(Micro-Electro-Mechanical-System)陀螺仪的随机误差,引入了粒子滤波处理MEMS IMU的输出数据.借助于机动目标的Singer模型建立了系统状态方程,论文讨论了粒子滤波算法在MEMS IMU滤波处理的应用,详细描述了算法的推导过程.应用经典卡尔曼滤波和粒子滤波分别处...

关 键 词:MEMS  IMU  Singer模型  卡尔曼滤波  粒子滤波

The Usage of Particle Filtering Algorithm in Initial Alignment of MEMS Gyro
CUI Ming.The Usage of Particle Filtering Algorithm in Initial Alignment of MEMS Gyro[J].Journal of Transduction Technology,2011,24(9):1275-1278.
Authors:CUI Ming
Affiliation:CUI Ming(Tianjin Key Laboratory for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China)
Abstract:According to the random errors of the MEMS(Micro-Electro-Mechanical-Systems)gyro,particle filtering algorithm is introduced.By means of Singer model of Moving Target,the system state equations are presented.The application of the particle filtering algorithm in the output data of MEMS gyro is discussed and the algorithm is deduced in detail.In this paper,Kalman filtering and particle filtering are used in filtering to the initial alignment output data of MEMS IMU respectively.By using two kinds of filtering method,the random errors are reduced,and the particle filtering is better.
Keywords:MEMS IMU  Singer model  Kalman filtering  particle filtering
本文献已被 CNKI 等数据库收录!
点击此处可从《传感技术学报》浏览原始摘要信息
点击此处可从《传感技术学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号