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      Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances †

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          Abstract

          In recent years, indoor positioning has emerged as a critical function in many end-user applications; including military, civilian, disaster relief and peacekeeping missions. In comparison with outdoor environments, sensing location information in indoor environments requires a higher precision and is a more challenging task in part because various objects reflect and disperse signals. Ultra WideBand (UWB) is an emerging technology in the field of indoor positioning that has shown better performance compared to others. In order to set the stage for this work, we provide a survey of the state-of-the-art technologies in indoor positioning, followed by a detailed comparative analysis of UWB positioning technologies. We also provide an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to analyze the present state of UWB positioning technologies. While SWOT is not a quantitative approach, it helps in assessing the real status and in revealing the potential of UWB positioning to effectively address the indoor positioning problem. Unlike previous studies, this paper presents new taxonomies, reviews some major recent advances, and argues for further exploration by the research community of this challenging problem space.

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                16 May 2016
                May 2016
                : 16
                : 5
                : 707
                Affiliations
                [1 ]Computer Research Institute, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia; maalsaleh@ 123456kacst.edu.sa (M.A.); aalnafessah@ 123456kacst.edu.sa (A.A.)
                [2 ]Computer Science Department, King Saud University, Riyadh 11451, Saudi Arabia; salman@ 123456ksu.edu.sa (A.A.-S.); 430204094@ 123456student.ksu.edu.sa (S.A.-H.)
                [3 ]Department of Computer Science, Al-Imam Mohammad bin Saud Islamic University, Riyadh 11432, Saudi Arabia; mai.alammar@ 123456ccis.imamu.edu.sa
                [4 ]Information Technology Department, King Saud University, Riyadh 11451, Saudi Arabia; hendk@ 123456ksu.edu.sa
                Author notes
                [* ]Correspondence: aarifi@ 123456kacst.edu.sa ; Tel.: +966-114-883-555 (ext. 7488); Fax: +966-114-814-553
                [†]

                This paper is an extended version of our paper published in Cyberworlds 2014 and Sensorcomm 2014. Al-Ammar, M.; Alhadhrami, S.; Al-Salman, A.; Alarifi, A. Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms. In Proceedings of the 2014 International Conference on Cyberworlds (CW), Santander, Spain, 6–8 October 2014; pp. 1–8. Alhadhrami, S.; Al-Salman, A.; Al-Khalifa, H.; Alarifi, A.; Alnafessah, A.; Alsaleh, M.; Al-Ammar, M. Ultra Wideband Positioning: An Analytical Study of Emerging Technologies. In Proceedings of the Eighth International Conference on Sensor Technologies and Applications, SENSORCOMM 2014, Rome, Italy, 16–20 November 2014; pp. 1–9.

                Article
                sensors-16-00707
                10.3390/s16050707
                4883398
                27196906
                0e4dd712-e4e2-4644-8e0d-91985256e35a
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 March 2016
                : 04 May 2016
                Categories
                Review

                Biomedical engineering
                ultra wideband,uwb,localization,positioning,indoor positioning,wireless sensor networks,wearable computing,swot

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