Application of Fuzzy Adaptive Fusion Algorithm in INS/BNS/GPS Integrated Navigation System

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The problem of data fusion based on filter is studied for an integrated inertial navigation system / Beidou navigation system / global positioning system (INS/BNS/GPS) with uncertain noise and conditionality of using GPS. The integrated navigation system can be divided into two integrated navigation subsystems (INS/BNS and INS/GPS). The signals from GPS and BNS receivers are easy to be disturbed, so filter is used to estimate the subsystem errors which are transmitted to fusion center online. Then data fusion is carried out by using the fuzzy fusion algorithm. Simulation results show that the algorithm can improve the accuracy and stability of navigation system.

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Edited by:

Amanda Wu

Pages:

205-209

Citation:

Y. Ren et al., "Application of Fuzzy Adaptive Fusion Algorithm in INS/BNS/GPS Integrated Navigation System", Applied Mechanics and Materials, Vol. 232, pp. 205-209, 2012

Online since:

November 2012

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$38.00

[1] W. Quan, J. C. Fang, F. Xu, et al. Hybrid simulation system study of SINS/CNS integrated navigation. Aerospace and Electronic Systems Magazine, IEEE, 2008, 23(2): 17–24.

DOI: https://doi.org/10.1109/maes.2008.4460727

[2] D J Jwo and F I Chang. A Fuzzy Adaptive Fading Kalman Filter for GPS Navigation. ICIC 2007, LNCS 4681: 820–831.

[3] X. B. Li, K. M. Zhou. A time domain approach to robust fault detection of linear time-varying systems. Automatica, 2009, 45(1): 94–102.

DOI: https://doi.org/10.1016/j.automatica.2008.07.017

[4] M. Malleswaran, J. M Anita, S. N. Sabreen, et al. Real-time INS/GPS Data Fusion Using Hybrid Adaptive Network Based Fuzzy Inference. 2010 11th Int. Conf. Control, Automation, Robotics and Vision Singapore, December 2010, 7-10: 1536-1540.

DOI: https://doi.org/10.1109/icarcv.2010.5707296

[5] Escamilla-Ambrosio P J, Mport N. Multisensor Data Fusion Architecture Based on Adaptive Kalman Filters and Fuzzy Logic Performance Assessment. Proceedings of the Fifth International Conference on Information Fusion, FUSION 2002. Annapolis, USA, July 2002, 2: 1542-1549.

DOI: https://doi.org/10.1109/icif.2002.1021000

[6] F Sun, L J Tang. Improved Particle Filter Algorithm for INS/GPS Integrated Navigation System. Proceedings of the 2011 IEEE International Conference on Mechatronics and Automation, August, Beijing, China, 2011: 2392-2396.

DOI: https://doi.org/10.1109/icma.2011.5986361