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Assist. Prof. Peerapong Uthansakul, Ph.D. School of Telecommunication Engineering Suranaree University of Technology
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Outline Motivation Background on time delay distribution Time delay measurement Positioning technique Results and discussions Conclusion uthansakul@sut.ac.th 2
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Motivation positioning methods based on WLAN infrastructure can be classified into four methods ◦ Time of Arrival (TOA) or Time Difference of Arrival (TDOA) ◦ Angle of Arrival (AOA) ◦ Received Signal Strength Indicator (RSSI) ◦ cell-ID. uthansakul@sut.ac.th 3
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Motivation Among those four parameters, TDOA or TOA are the best for indoor positioning systems in term of sensitivity to physical environment. This is because the accuracy of positioning is distorted the least by multipath signals and distance between access point and user in comparing with AOA and RSS methods [16]. uthansakul@sut.ac.th 4
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Motivation However, they gain less attraction than the system using RSS. This is due to the fact that RSS measurements can be obtained relatively effortlessly and inexpensively without the need for hardware and firmware modification [19]. uthansakul@sut.ac.th 5
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Motivation In [17-18], Gunther and Hoene attempt to measure time delay distribution without any modifications. But their experiments were done under arranged scenarios. ◦ Non-operating access point => not practical ◦ Point-to-point measurement=>not practical ◦ No other active user => not practical uthansakul@sut.ac.th 6
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Motivation In this work, the following contributions can be found. ◦ Time delay measurements are investigated under operating WLAN system. ◦ The relation between measured time delay distribution and distance is presented. ◦ The utilizing method of measured data for positioning purpose is proposed. uthansakul@sut.ac.th 7
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WLAN is based on CSMA/CA Time delay of successful transmission Time delay uthansakul@sut.ac.th 8 Background on time delay distribution
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Probability of time delay uthansakul@sut.ac.th 9 Background on time delay distribution
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The method to collect the time delay of successful transmission is done by ping command from computer notebook. The measurements are performed at 4 th level of C-Building at SUT. There are 4 access points on this level. The user knows IP address of all access points. uthansakul@sut.ac.th 10 Time delay measurement
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uthansakul@sut.ac.th 11 Time delay measurement
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At each location, 100 trial time delays are collected in order to compute the probability of time delays. there is no modification needed at both access point and user hardware. As a result, it can be directly implemented to any existing WLAN system without extra costs. uthansakul@sut.ac.th 12 Time delay measurement
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uthansakul@sut.ac.th 13 Time delay measurement
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Relation between distance and time delay distribution ?? By using average time delay of first transmission attempt (j = 0), a good agreement can be met. The results are confirmed by measuring 5 times a day, 2 different days. uthansakul@sut.ac.th 14 Time delay measurement
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uthansakul@sut.ac.th 15 Time delay measurement
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In this work, the empirical approach is adopted to find an appropriated parameter for translating time delay into distance. Two steps of positioning technique: ◦ Determine conversion between time delay and distance ◦ Apply triangle locating uthansakul@sut.ac.th 16 Positioning technique
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Relation between distance and time delay uthansakul@sut.ac.th 17 Positioning technique
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Triangle locating uthansakul@sut.ac.th 18 Positioning technique
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Measurement area uthansakul@sut.ac.th 19 Results and discussions The average error is 3.96 m
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Outside Measurement area uthansakul@sut.ac.th 20 Results and discussions The average error is 3.12 m
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This paper has been demonstrated the new technique for WLAN positioning system. The proposed technique provides the most convenient method to know the position of user without any extra cost of firmware and hardware. The measurement results confirm the success of using proposed method. uthansakul@sut.ac.th 21 Conclusion
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Thank you for your attention ! uthansakul@sut.ac.th 22 End
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