Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances

By A. Alarifi, A. Al-Salman, Mansour Alsaleh, Ahmad Alnafessah, Suheer Alhadhrami, Mai A. Al-Ammar, Hend Al-Khalifa. Italian National Conference on Sensors, 2016

1,084 citations recorded by the source corpus.

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.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/1a901535f1b4c5735b7ff2b9ae067ff4321528e0

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Citations in the corpus

Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation (2020, background): “On the other hand, many researchers have considered to adopt the ultraw-ideband (UWB) technology in the indoor positioning system (IPS) [7] and lots of work has been done, including channel model [8], multipath component estimation [9], and theoretical lower band of positioning errors [10].”
Location based services: ongoing evolution and research agenda (2018, neutral): “…technologies have been developed and tested for estimating the location of a smartphone in indoor environments (Davidson and Piche 2017), such as WiFi (Retscher and Roth 2017), RFID (Bai 2016), Bluetooth (Huang et al. 2009), NFC (Ozdenizci, Coskun, and Kerem 2015), and UWB (Alari ﬁ et al. 2016).”
A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments (2019, background): “UWB has thus been extensively investigated for localization and navigation by both academia and industry in recent years [3], [4].”
Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2017, methodology): “the positioning accuracy relative to other techniques [28].”