Paper Title:
UKF Filtering of UAV MEMS Gyro Based on Time-Series Model
  Abstract

The algorithms and the applications of UKF filtering of UAV MEMS Gyro based on time-series model are presented in this paper. First Gyro output signals are preprocessed and modeled by time-series analysis theory, and then use UKF filtering method to compensating error based on the time-series model. Examples with actual experiment demonstrate that the method has apparent superiority. The simulation result shows that, both in static and dynamic cases, after eliminate the precision error MEMS gyro accuracy can achieve the miniature UAV standards.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4885-4891
DOI
10.4028/www.scientific.net/AMM.121-126.4885
Citation
J. Xu, Q. Li, "UKF Filtering of UAV MEMS Gyro Based on Time-Series Model", Applied Mechanics and Materials, Vols. 121-126, pp. 4885-4891, 2012
Online since
October 2011
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