Table of Contents Author Guidelines Submit a Manuscript
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.

Citations to this Article [12 citations]

The following is the list of published articles that have cited the current article.

  • Kai Pan, Mingrong Ren, Pu Wang, and Yanhong Liu, “A federated filtering personal navigation algorithm based on MEMS-INS/GPS integrated,” 2016 Chinese Control and Decision Conference (CCDC), pp. 5237–5241, . View at Publisher · View at Google Scholar
  • Zsofia Bodo, and Bela Lantos, “State estimation for UAVs using sensor fusion,” 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), pp. 000111–000116, . View at Publisher · View at Google Scholar
  • Zhen Chen, Jialin Li, and Xiangdong Liu, “Spacecraft autonomous GPS navigation based on polytopic linear differential inclusion,” Journal of Navigation, vol. 31, no. 3, 2014. View at Publisher · View at Google Scholar
  • Xiaojun Peng, Kuntao Yang, and Chang Liu, “Maneuvering target tracking using current statistical model based adaptive UKF for wireless sensor network,” Journal of Communications, vol. 10, no. 8, pp. 579–588, 2015. View at Publisher · View at Google Scholar
  • Hassana Maigary Georges, Dong Wang, and Zhu Xiao, “GNSS/Low-Cost MEMS-INS Integration Using Variational Bayesian Adaptive Cubature Kalman Smoother and Ensemble Regularized ELM,” Mathematical Problems in Engineering, vol. 2015, pp. 1–13, 2015. View at Publisher · View at Google Scholar
  • Changyan Ran, and Xianghong Cheng, “A Direct and Non-Singular UKF Approach Using Euler Angle Kinematics for Integrated Navigation Systems,” Sensors, vol. 16, no. 9, pp. 1415, 2016. View at Publisher · View at Google Scholar
  • Mundla Narasimhappa, Nayak, Marco Henrique Terra, and Samrat L. Sabat, “ARMA model based adaptive unscented fading Kalman filter for reducing drift of fiber optic gyroscope,” Sensors and Actuators, A: Physical, vol. 251, pp. 42–51, 2016. View at Publisher · View at Google Scholar
  • Neda Navidi, René Jr. Landry, Jianhua Cheng, and Denis Gingras, “A New Technique for Integrating MEMS-Based Low-Cost IMU and GPS in Vehicular Navigation,” Journal of Sensors, vol. 2016, pp. 1–16, 2016. View at Publisher · View at Google Scholar
  • Mohammad Ali Rahgoshay, Paknoosh Karimaghaie, and Fereidoon Shabaninia, “Robust inertial frame-based alignment of fiber-optic gyro strapdown inertial navigation systems using a generalized proportional-integral-derivative filter,” Optical Engineering, vol. 56, no. 9, 2017. View at Publisher · View at Google Scholar
  • Hao-Han Ding, Hui Feng, and Hai-Xiang Xu, “An Adaptive Unscented Kalman Filter for Tracking Sudden Environmental Forces Changes in Dynamic Positioning System,” Chuan Bo Li Xue/Journal of Ship Mechanics, vol. 21, no. 6, pp. 711–721, 2017. View at Publisher · View at Google Scholar
  • Dingjie Wang, Hanfeng Lv, and Jie Wu, “Augmented Cubature Kalman filter for nonlinear RTK/MIMU integrated navigation with non-additive noise,” Measurement, vol. 97, pp. 111–125, 2017. View at Publisher · View at Google Scholar
  • Yingyao Kang, Lin Zhao, Jianhua Cheng, Mouyan Wu, and Xiaoliang Fan, “A Novel Grid SINS/DVL Integrated Navigation Algorithm for Marine Application,” Sensors, vol. 18, no. 2, pp. 364, 2018. View at Publisher · View at Google Scholar