Collaborative Sensor Network Localization: Algorithms and Practical Issues
R. Michael Buehrer,Henk Wymeersch,Reza Monir Vaghefi +2 more
- Vol. 106, Iss: 6, pp 1089-1114
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TLDR
The state of the art in collaborative localization based on range-based as well as range-angle-based techniques is surveyed with an eye toward 5G cellular and IoT applications.Abstract:
Emerging communication network applications including fifth-generation (5G) cellular and the Internet-of-Things (IoT) will almost certainly require location information at as many network nodes as possible. Given the energy requirements and lack of indoor coverage of Global Positioning System (GPS), collaborative localization appears to be a powerful tool for such networks. In this paper, we survey the state of the art in collaborative localization with an eye toward 5G cellular and IoT applications. In particular, we discuss theoretical limits, algorithms, and practical challenges associated with collaborative localization based on range-based as well as range-angle-based techniques.read more
Citations
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Non-line-of-sight node localization based on semi-definite programming in wireless sensor networks (アドホックネットワーク)
Hongyang Chen,Kaoru Sezaki +1 more
TL;DR: In this article, a semi-definite programming (SDP) based node localization algorithm in NLOS environments is proposed for ultra-wideband (UWB) wireless sensor networks, where the positions of sensors can be estimated using the distance estimates from location-aware anchors as well as other sensors.
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Soft Information for Localization-of-Things
TL;DR: The results show that SI-based localization is highly efficient, can significantly outperform classical techniques, and provides robustness to harsh propagation conditions.
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Harnessing NLOS Components for Position and Orientation Estimation in 5G Millimeter Wave MIMO
TL;DR: In this paper, the role of NLOS components for position and orientation estimation in 5G millimeter wave MIMO systems is investigated based on the concept of Fisher information, and it is shown that for sufficiently high temporal and spatial resolution, the NLOS component always provides position and orientations information that consequently increase position and position estimation accuracy.
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