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The micro electro mechanical system (MEMS) gyroscopes
are widely used in many applications for its small
size and low
cost. They usually have deterministic system error
and random error which can only be described by
statistical models. First of all, its
random drift error model is created by using the
time-serial analysis, and then the process of
decreasing this random drift error by
making use of the square root unscented Kalman filter
(SRUKF) based on the above error model is expounded.
The compensating
results for the practical testing data of a MEMS
gyroscope show that the random drift error can be
controlled effectively by the
filtering method presented, and its application
precision in practical system can be further proved.
are widely used in many applications for its small
size and low
cost. They usually have deterministic system error
and random error which can only be described by
statistical models. First of all, its
random drift error model is created by using the
time-serial analysis, and then the process of
decreasing this random drift error by
making use of the square root unscented Kalman filter
(SRUKF) based on the above error model is expounded.
The compensating
results for the practical testing data of a MEMS
gyroscope show that the random drift error can be
controlled effectively by the
filtering method presented, and its application
precision in practical system can be further proved.