Development and optimization of wireless indoor localization error modelling

Publication Type:
Conference Proceeding
Citation:
Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017, 2017, 2017-January pp. 475 - 479
Issue Date:
2017-11-27
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© 2017 IEEE. This paper introduces a new generation an error modelling of wireless indoor localization. A newly designed algorithm modelling by using Kalman Filter is developed to optimize the wireless indoor localization system based on iBeacon sensors. It is designed to detect and minimize the errors. Matlab simulations, implementation, and validation are presented in the paper.
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