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2010•Transducer and Microsystem TechnologiesRequires access

IMU error analysis based on a simplified allan variance method

Zhenming Feng

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Abstract

For analyzing the random error coefficients of inertial measurement units(IMU),the Allan variance method is studied.For large data set processing,a simplified Allan variance algorithm which can both reduce the calculation burden and keep the accuracy of the results is proposed.The proposed algorithm is used to analyze the long-term static data collected from a micro-electro-mechanical systems(MEMS)IMU.Results demonstrate that the proposed simplified Allan variance method can effectively recognize the error coefficients of the IMU.

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What this paper is about

For analyzing the random error coefficients of inertial measurement units(IMU),the Allan variance method is studied.For large data set processing,a simplified Allan variance algorithm which can both reduce the calculation burden and keep the accuracy of the results is proposed.The proposed algorithm is used to analyze the long-term static data collected from a micro-electro-mechanical systems(MEMS)IMU.Results demonstrate that the proposed simplified Allan variance method can effectively recognize the error coefficients of the IMU.

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Available abstract

For analyzing the random error coefficients of inertial measurement units(IMU),the Allan variance method is studied.For large data set processing,a simplified Allan variance algorithm which can both reduce the calculation burden and keep the accuracy of the results is proposed.The proposed algorithm is used to analyze the long-term static data collected from a micro-electro-mechanical systems(MEMS)IMU.Results demonstrate that the proposed simplified Allan variance method can effectively recognize the error coefficients of the IMU.

Key concepts: Allan variance, Inertial measurement unit, Variance (accounting), Algorithm, Computer science, Random error, Set (abstract data type), Inertial frame of reference

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