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Characterization of electromagneticproperties in iron-mine production tunnels
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. KTH, School of Information and Communication Technology (ICT), Centres, Center for Wireless Systems, Wireless@kth.
(Högskolan i Gävle, Radio Center Gävle) (Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap)
(Högskolan i Gävle, Akademin för teknik och miljö)
(Dept. of Electrical Engineering (ISY), Linkoping University)
2012 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 48, no 2, 62-63 p.Article in journal (Refereed) Published
Abstract [en]

Modern underground mines require reliable wireless communication for transmitting voice data, operating surveillance cameras, and monitoring mining equipment such as heavy vehicles. The electromagnetic characteristics of mines therefore have to be considered when determining the type of wireless technology for such critical applications. In this reported work, measurements of radio interference levels, path loss, and multipath propagation are performed in the world's now largest iron ore mine, situated in Sweden, to determine a suitable wireless technology for this mine.

Place, publisher, year, edition, pages
2012. Vol. 48, no 2, 62-63 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-144879DOI: 10.1049/el.2011.3133ISI: 000299322500006ScopusID: 2-s2.0-84857306164OAI: diva2:715008

QC 20140520

Available from: 2014-04-30 Created: 2014-04-30 Last updated: 2014-05-20Bibliographically approved
In thesis
1. Channel Characterization and WirelessCommunication Performance in Industrial Environments
Open this publication in new window or tab >>Channel Characterization and WirelessCommunication Performance in Industrial Environments
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The demand for wireless communication systems in industry has grown in recent years. Industrial wireless communications open up a number of new possibilities for highly flexible and efficient automation solutions. However, a good part of the industry refuses to deploy wireless solutions products due to the high reliability requirements in industrial communications that are not achieved by actual wireless systems. Industrial environments have particular characteristics that differ from typical indoor environments such as office or residential environments. The metallic structure and building dimensions result in time dispersion in the received signal. Moreover, electrical motors, vehicles and repair work are sources of electromagnetic interference (EMI) that have direct implications on the performance of wireless communication links. These degradations can reduce the reliability of communications, increasingthe risk of material and personal incidents. Characterizing the sources of degradations in different industrial environments and improving the performance of wireless communication systems by implementing spatial diversity and EMI mitigation techniques are the main goals of this thesis work.

Industrial environments are generally considered to be environments with a significant number of metallic elements and EMI sources. However, with the penetration of wireless communication in industrial environments, we realize that not all industrial environments follow this rule of thumb. In fact, we find a wide range of industrial environments with diverse propagation characteristics and degradation sources. To improve the reliability of wireless communication systems in industrial environments, proper radio channel characterization is needed for each environment. This thesis explores a variety of industrial environments and attempts to characterize the sources of degradation by extracting representative channel parameters such as time dispersion, path loss and electromagnetic interference. The result of this characterization provides an industrial environment classification with respect to time dispersion and EMI levels, showing the diverse behavior of propagation channels in industry.

The performance of wireless systems in industrial environments can be improved by introducing diversity in the received signal. This can be accomplished by exploiting the spatial diversity offered when multiple antennas are employed at the transmitter with the possibility of using one or more antennas at the receiver. For maximum diversity gain, a proper separation between the different antennas is needed. However, this separation could be a limiting factor in industrial environments with confined spaces. This thesis investigates the implication of antenna separation on system performance and discusses the benefits of spatial diversity in industrial environments with high time dispersion conditions where multiple antennas with short antenna separations can be employed.

To ensure reliable wireless communication in industrial environments, all types of electromagnetic interference should be mitigated. The mitigation of EMI requires interference detection and subsequent interference suppression.This thesis looks at impulsive noise detection and suppression techniques for orthogonal frequency division multiplexing (OFDM) based on wide-band communication systems in AWGN and multi-path fading channels. For this,a receiver structure with cooperative detection and suppression blocks is proposed.This thesis also investigates the performance of the proposed receiver structure for diverse statistical properties of the transmitted signal and electromagnetic interference.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. xiii, 81 p.
TRITA-ICT-COS, ISSN 1653-6347 ; 14:02
National Category
Research subject
Electrical Engineering
urn:nbn:se:kth:diva-145158 (URN)
Public defence
2014-06-04, Sal D, KTH - ICT, Isafjordsgatan 39, Kista, 13:00 (English)

QC 20140520

Available from: 2014-05-20 Created: 2014-05-13 Last updated: 2014-05-20Bibliographically approved

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Ferrer Coll, Javier
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