Real Time Wi-Fi Indoor Positioning System Based on RSSI Measurements: A Distributed Load Approach with the Fusion of Three Positioning Algorithms
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This paper investigates the effectiveness and applicability of fusing three wireless positioning algorithms to determine the positions and track nomadic sensor nodes in real environment conditions. We fuse finger printing and atomic multilateration processes to give the system the best feasible region and to ensure that the later does not sway much due to accumulative errors. The extended Kalman filter is then used for refining the estimated position in near real time. The paper further assesses the response speed and the accuracy of estimating the position of the nomadic nodes with a prudent distribution of the processing load.
KeywordsRSSI Finger print EKF Multilateration
This work was supported in part by the University of South China University of Technology, School of Automation Science and Engineering. Further, we acknowledge the input of those individuals whom we might not have listed here but played a vital role in our process of preparing this paper. Thank you.
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