Paper Title:
Application of Fuzzy Adaptive Kalman Filtering on GPS/INS Integrated Navigation System
  Abstract

A fuzzy adaptive Kalman filtering navigation algorithm is proposed and further applied to the GPS/INS integrated navigation system in this paper. The common Sage-Husa adaptive filtering algorithm and its drawbacks are elaborated. In order to adjust the Sage-Husa adaptive filter to the optimal state to improve the accuracy of the integrated navigation system, the fuzzy logic adaptive controller is used to adjust the weighting form for the covariance matrix of measurement noise to gradually make it approach to the true noise levels. Simulation results show that the proposed algorithm can not only inhibit the filtering divergence but also improve filtering accuracy.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Mechanical Control and Information Processing Technology
Edited by
Xin Chen
Pages
1512-1517
DOI
10.4028/www.scientific.net/AMR.317-319.1512
Citation
M. W. Liu, F. F. Xiong, J. Huang, "Application of Fuzzy Adaptive Kalman Filtering on GPS/INS Integrated Navigation System", Advanced Materials Research, Vols. 317-319, pp. 1512-1517, 2011
Online since
August 2011
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Price
$32.00
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