Research on Compensating of Random Error of MEMS Gyroscope
Abstract：In order to improve the performance of MEMS gyroscope, the compensating method of random drift error was analyzed and modeled. Based on the time series analysis method, the data of random drift was taken out from the processed original measurement of the MEMS gyroscope, and was modeled lay the AR（1） model on time series analysis method. With the AR model, a Kalman filter was designed. By the tests, it showed that the error was remarkably decreased after fil-tering in the static test, while the effect was not good in the dynamic test. Then a time-vary factor adaptive Kalman filter was designed, and it could effectively decrease the random drift of MEMS gyroscope.
Keywords：random driftAR modelKalman filteradaptive
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 54-56 )