A framework for sensor fusing using fuzzy logic for navigation systems

Wong, Wei kitt and Ali Chekima and Jamal Ahmad Dargham and Farrah Wong and Tamer A. Tabet (2010) A framework for sensor fusing using fuzzy logic for navigation systems. In: 1st International Conference on Energy, Power and Control, EPC-IQ01 2010, 30 November - 2 December 2010, Basrah, Iraq.

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Navigational sensors are evolving both on a commercial and research level. However, the limitation still lies in the accuracy of the respective sensors. For a navigation system to reach a certain accuracy, multi sensors or fusion sensors are used. In this paper, a framework of fuzzy sensor data fusing is proposed to obtain an optimised navigational system. Different types of sensors without a known state of inaccuracy can be fused using the same method proposed. This is demonstrated by fusing compass/accelerometer and GPS signal. GPS has evolved as a choice of navigation method for outdoor autonomous system. Despite it emerging trend and application, one problem remains is that it is still prone to inaccuracies due to environmental factors. These factors are available and evaluated in the GPS receiver architecture. These inaccuracies are available in the extracted NMEA(National Maritime Electronics Association) protocols as SNR (Signal to noise ratio) and HDOP (Horizontal Dillusion of Precision). Dead reckoning sensors on the other hand does not depend on external radio signal coverage and can be used in areas with low coverage. Unfortunately, the errors are unbounded and has an accumulative effect over time.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Autonomous systems, Dead reckoning sensors, Emerging trends, Environmental factors Fusion sensor, Fuzzy sensors, GPS receivers, GPS signals, Multi sensor, Navigation methods, Navigational sensors, Navigational systems, Radio signals, Research level
Subjects: ?? TK7800-8360 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 17 Apr 2012 08:20
Last Modified: 30 Dec 2014 01:28
URI: http://eprints.ums.edu.my/id/eprint/3920

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