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An Approach for Self-Adaptive Path Loss Modelling for Positioning in Underground Environments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-6032-6155
Siberian State University of Telecommunications and Information Sciences.
2016 (English)In: International Journal of Antennas and Propagation, ISSN 1687-5869, E-ISSN 1687-5877, Vol. 2016, article id 3424768Article in journal (Refereed) Published
Abstract [en]

This paper proposes a real-time self-adaptive approach for accurate path loss estimation in underground mines or tunnels based on signal strength measurements from heterogeneous radio communication technologies. The proposed model features simplicity of implementation. The methodology is validated in simulations and verified by measurements taken in real environments. The proposed method leverages accuracy of positioning matching the existing approaches while requiring smaller engineering efforts.

Place, publisher, year, edition, pages
2016. Vol. 2016, article id 3424768
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems; Intelligent industrial processes (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-4153DOI: 10.1155/2016/3424768Local ID: 20c34b0f-e698-4f08-b388-7ebe597b8c02OAI: oai:DiVA.org:ltu-4153DiVA: diva2:977017
Note
Validerad; 2016; Nivå 2; 20160207 (denkle)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-02-12Bibliographically approved

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