Paper Title:
MEMS Gyroscope Random Error Modeling and Filtering
  Abstract

MEMS gyroscope is a new type of inertial device with small size, low cost, light weight, high reliability, but less precise and random error is relatively large. In this paper, from a practical engineering application point of view, first, the MEMS gyroscope random errors is real-time average filtered. Then, based on the basic principle of time series analysis of random sequence , the first-order AR model of MEMS gyroscope random errors is established. Finally, based on Markov characteristic of kalman filtering algorithm, each output of the MEMS gyroscope is multiple real-time filtered. Through the specific data processing, MEMS gyroscope random errors reduced to about two per cent of the original.

  Info
Periodical
Edited by
Honghua Tan
Pages
829-834
DOI
10.4028/www.scientific.net/AMM.29-32.829
Citation
B. Ren, D. M. Zhang, H. Li, "MEMS Gyroscope Random Error Modeling and Filtering", Applied Mechanics and Materials, Vols. 29-32, pp. 829-834, 2010
Online since
August 2010
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Price
$32.00
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