2006•Transducer and Microsystem TechnologiesRequires access

Processing of variant-precision problem in error test of ring laser gyro

LI Guang-zhu

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Abstract

Variance(or Allan variance) analysis method is widely used in the error test of ring laser gyro(RLG).Various error sources are distinguished through regression of σ~2(τ) at different sample time.The dada points by which σ~2(τ) is calculated goes small when the sample time is very long,this makes bad precision of(σ~2(τ)).If σ~2(τ) at long sample time are not used,the data for the regression points becomes less,and this brings lower precision of fitting result.Weighted regression model is proposed to processe variant-precision problem in error test of RLG.

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What this paper is about

Variance(or Allan variance) analysis method is widely used in the error test of ring laser gyro(RLG).Various error sources are distinguished through regression of σ~2(τ) at different sample time.The dada points by which σ~2(τ) is calculated goes small when the sample time is very long,this makes bad precision of(σ~2(τ)).If σ~2(τ) at long sample time are not used,the data for the regression points becomes less,and this brings lower precision of fitting result.Weighted regression model is proposed to processe variant-precision problem in error test of RLG.

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Available abstract

Variance(or Allan variance) analysis method is widely used in the error test of ring laser gyro(RLG).Various error sources are distinguished through regression of σ~2(τ) at different sample time.The dada points by which σ~2(τ) is calculated goes small when the sample time is very long,this makes bad precision of(σ~2(τ)).If σ~2(τ) at long sample time are not used,the data for the regression points becomes less,and this brings lower precision of fitting result.Weighted regression model is proposed to processe variant-precision problem in error test of RLG.

Key concepts: Ring laser gyroscope, Variance (accounting), Allan variance, Sample (material), Statistics, Observational error, Regression, Regression analysis

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