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      Improving performance of pedestrian positioning by using vehicular communication signals

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          Abstract

          Pedestrian-to-vehicle communications, where pedestrian devices transmit their position information to nearby vehicles to indicate their presence, help to reduce pedestrian accidents. Satellite-based systems are widely used for pedestrian positioning, but have much degraded performance in urban canyon, where satellite signals are often obstructed by roadside buildings. The authors propose a pedestrian positioning method, which leverages vehicular communication signals and uses vehicles as anchors. The performance of pedestrian positioning is improved from three aspects: (i) channel state information instead of received signal strength indicator (RSSI) is used to estimate pedestrian-vehicle distance with higher precision. (ii) Only signals with line-of-sight path are used, and the property of distance error is considered. (iii) Fast mobility of vehicles is used to get diverse measurements, and Kalman filter is applied to smooth positioning results. Extensive evaluations, via trace-based simulation, confirm that (i) fixing rate of positions can be much improved. (ii) Horizontal positioning error can be greatly reduced, nearly by one order compared with off-the-shelf receivers, by almost half compared with RSSI-based method, and can be reduced further to about 80 cm when vehicle transmission period is 100 ms and Kalman filter is applied. Generally, positioning performance increases with the number of available vehicles and their transmission frequency.

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          Most cited references 10

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          Theory and Performance of Narrow Correlator Spacing in a GPS Receiver

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            Binary Offset Carrier Modulations for Radionavigation

             John Betz (2001)
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              A Survey on Wireless Indoor Localization from the Device Perspective

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                Author and article information

                Contributors
                Journal
                IET-ITS
                IET Intelligent Transport Systems
                IET Intell. Transp. Syst.
                The Institution of Engineering and Technology
                1751-956X
                1751-9578
                16 January 2018
                20 February 2018
                June 2018
                : 12
                : 5
                : 366-374
                Affiliations
                Graduate School of Informatics and Engineering, The University of Electro-Communications , Tokyo, Japan
                Article
                IET-ITS.2017.0134 ITS.2017.0134.R1
                10.1049/iet-its.2017.0134

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

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                Pages: 0
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