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  • 标题:Stochastic Modeling of MEMS Inertial Sensors
  • 本地全文:下载
  • 作者:P. Petkov ; T. Slavov
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2010
  • 卷号:10
  • 期号:2
  • 出版社:Bulgarian Academy of Science
  • 摘要:A detailed methodology that allows the developing of stochastic discretetime models of MEMS gyroscope and accelerometer noises is presented. The methodology is based on the frequency-domain and time-domain characteristics of the sensors noises and is illustrated for the case of Analog Devices tri-axis Inertial measurement Sensor ADIS16350. It is shown that the gyro and accelerometer noises have similar second-order models which are appropriate for usage in the development of Kalman filters for navigation and control systems.
  • 关键词:MEMS inertial sensors; Stochastic Error models; Kalman filtering.
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