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UKF在MEMS陀螺随机噪声补偿的应用

吴小文 李擎

火力与指挥控制2013,Vol.38Issue(6):8-10,3.
火力与指挥控制2013,Vol.38Issue(6):8-10,3.

UKF在MEMS陀螺随机噪声补偿的应用

Research on Application of UKF to Compensation of MEMS Gyro Random Noise

吴小文 1李擎1

作者信息

  • 1. 北京信息科技大学智能控制研究所,北京100101
  • 折叠

摘要

Abstract

The characteristics of MEMS gyroscope static random noise and dynamic random noise are discussed;Feature of unscented Kalman filter(UKF) is Systematic analysed,and UKF is used in the compensation of MEMS gyroscope random noise.Error compensation can not be achieved using the same method to deal with the static noise and dynamic noise of MEMS gyroscope.In view of this,the engineering approach of static and dynamic filtering by threshold decision is proposed.There is some defective when the time series used to build mathematical model of random noise,advantages and disadvantages of the methodology of the MEMS gyro random noise compensation used by Europe and the United States are pointed out.

关键词

MEMS陀螺/无迹卡尔曼滤波/时间序列/白噪声/随机误差补偿

Key words

MEMS gyroscope/unscented Kalman filter/time series/white noise/random error compensation

分类

交通工程

引用本文复制引用

吴小文,李擎..UKF在MEMS陀螺随机噪声补偿的应用[J].火力与指挥控制,2013,38(6):8-10,3.

基金项目

国家自然科学基金(60972118 ()

61031001) ()

北京市创新人才基金(PHR201006115 ()

PHR201106226) ()

科技创新平台基金(71F1210907 ()

5028123300) ()

十二五预先研究基金资助项目(40405100304 ()

9071223301)获国家技术发明二等奖 ()

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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