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Journal of Applied Mathematics
Volume 2014, Article ID 451939, 8 pages
http://dx.doi.org/10.1155/2014/451939
Research Article

An Adaptive Unscented Kalman Filtering Algorithm for MEMS/GPS Integrated Navigation Systems

1Marine Navigation Research Institute, College of Automation, Harbin Engineering University, Harbin 150001, China
2LASSENA Laboratoire, Ecole de Technologie Superieure, Université du Québec, Montréal, Canada H3C 1K3

Received 13 November 2013; Accepted 15 February 2014; Published 20 March 2014

Academic Editor: Yuxin Zhao

Copyright © 2014 Jianhua Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jianhua Cheng, Daidai Chen, Rene Jr. Landry, Lin Zhao, and Dongxue Guan, “An Adaptive Unscented Kalman Filtering Algorithm for MEMS/GPS Integrated Navigation Systems,” Journal of Applied Mathematics, vol. 2014, Article ID 451939, 8 pages, 2014. https://doi.org/10.1155/2014/451939.