Ultra-wideband Positioning Systems Theoretical Limits Ranging Algorithms And Protocols Pdf

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ultra-wideband positioning systems theoretical limits ranging algorithms and protocols pdf

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Position estimation of wireless devices has many applications in short-range networks.

High-Accuracy Tracking Using Ultrawideband Signals for Enhanced Safety of Cyclists

Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page. Radio frequency RF technologies are often used to track assets in indoor environments. Among others, ultra-wideband UWB has constantly gained interest thanks to its capability to obtain typical errors of 30 cm or lower, making it more accurate than other wireless technologies such as WiFi, which normally can predict the location with several meters accuracy. However, mainly due to technical requirements that are part of the standard, conventional medium access strategies such as clear channel assessment, are not straightforward to implement.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Sahinoglu and S. Sahinoglu , S. Gezici , Ismail Gvenc Published Engineering.

PL EN. Widoczny [Schowaj] Abstrakt. Adres strony. International Journal of Electronics and Telecommunications. Kolakowski, J.

Analysis of the Scalability of UWB Indoor Localization Solutions for High User Densities.

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In this scenario, it becomes urgent to develop solutions in order to both encourage people to cycle and make cycling safer at the same time. Today several technologies are available and could be exploited to detect dangerous situations for cyclists. In order to choose the proper one, we propose a multidisciplinary approach based on a deep analysis of the most dangerous scenarios and situations. For these reasons, the technological requirements for such application must account for several and heterogeneous aspects in order to make it effective, reliable, and user-friendly and with low-cost. To this end, in this paper we first provide an analysis of accidents statistics involving cyclists. Second, a survey of existing technologies, with a particular emphasis on their pros and cons, is undertaken.

Position estimation of wireless devices has many applications in short-range networks. Ultra-wideband UWB signals provide accurate positioning capabilities that can be harnessed in wireless systems to realise these applications. This text provides detailed coverage of UWB positioning systems, offering comprehensive treatment of signal and receiver design for ranging, range estimation techniques, theoretical performance bounds, ranging algorithms and protocols. Beginning with a discussion of the potential applications of wireless positioning, and investigating UWB signals for such applications, later chapters establish a signal processing framework for analysing UWB positioning and ranging systems. The recent IEEE Each chapter contains examples, problems and Matlab scripts to help readers grasp key concepts.

Ultra-Wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols

Interest in the Internet of Things IoT is rapidly increasing, as the number of connected devices is exponentially growing. One of the application scenarios envisaged for IoT technologies involves indoor localization and context awareness. In this paper, we focus on a localization approach that relies on a particular type of communication technology, namely Ultra Wide Band UWB. UWB technology is an attractive choice for indoor localization, owing to its high accuracy. Since localization algorithms typically rely on estimated inter-node distances, the goal of this paper is to evaluate the improvement brought by a simple linear statistical model of the distance error.

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Ultra-Wideband UWB is an emerging radio technology that has the potential to become the new enabler for the next generation of wireless networks. The strength of the UWB radio technique lies in its use of extremely wide transmission bandwidths which results in desirable capabilities including accurate location and position ranging, lack of significant fading, high multiple access capability, and possible material penetration. The technology has several distinct characteristics that set it apart from other tethered or untethered technologies. Thus, extremely challenging theoretical and practical problems are raised, regarding the network performance and management. Our main goal is to understand the fundamental performance limits of UWB networks and to utilize the unique UWB properties in order to design algorithms that enable us to approach these performance limits. In particular, we wish to study the issues of power-aware topology construction and MAC design and management.

This paper presents LocSpeck, a collaborative and distributed indoor positioning system for dynamic nodes connected using an ad-hoc network, based on inter-node relative range measurements and Wi-Fi fingerprinting. The proposed system operates using peer-to-peer range measurements and does not need ultra-wideband UWB fixed anchor, nor it needs a predefined network topology. The nodes could be asymmetric in terms of the available sensors onboard, the computational resources, and the power capacity. This asymmetry adversely affects the positioning performance of the weaker nodes. Collaboration between different nodes is achieved through a distributed estimator without the need of a single centralized computing element. The ranging measurement component of the system is based on the DW UWB transceiver chip from Decawave, which is attached to a set of smartphones equipped with asymmetric sensors.

School of Engineering, Nagoya University. Ultra-Wideband is an attractive technology for short range positioning, especially indoors. However, for normal Time of Arrival ToA positioning, at least three receivers with unblocked direct path to the transmitter are required. A requirement that is not always met. In this work, a novel algorithm for ToA positioning using only two receivers is presented. This is possible by exploiting the knowledge of some of the indoor features, namely positions of big flat reflective surfaces, for example ceiling and walls.


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