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Noise Modeling and OFDM Receiver Design in Power-Line Communication
KTH, School of Electrical Engineering (EES), Information Science and Engineering.
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2011 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 26, no 4, 2735-2742 p.Article in journal (Refereed) Published
Abstract [en]

Electromagnetic interference, man-made noise, and multipath effects are the main causes of bit errors in power-line communication. In this paper, it is experimentally demonstrated that the power-line noise distribution is non-Gaussian below 12 MHz, and close to Gaussian in the 12-50 MHz range. The noise-amplitude distribution of each individual frequency in the spectrum is analyzed and the generalized Gaussian distribution (GGD) is introduced as a suitable noise model across the spectrum. Orthogonal frequency-division multiplexing (OFDM) with convolutional coding and soft-Viterbi decoding is adopted to design a GGD-optimal communication system. Simulations demonstrate the performance improvement offered over the Gaussian-optimal receiver. The channel simulations are verified through measurements.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2011. Vol. 26, no 4, 2735-2742 p.
Keyword [en]
Gaussian distribution;OFDM modulation;Viterbi decoding;carrier transmission on power lines;convolutional codes;electromagnetic interference;multipath channels;radio receivers;EMI;GGD-optimal communication system;Gaussian-optimal receiver;OFDM receiver design;channel simulations;convolutional coding;electromagnetic interference;frequency 12 MHz to 50 MHz;generalized Gaussian distribution;man-made noise;multipath effects;noise modeling;noise-amplitude distribution;orthogonal frequency-division multiplexing;power-line communication;soft-Viterbi decoding;Electromagnetic interference;Gaussian distribution;Noise;Noise measurement;OFDM;Power line communications;Generalized Gaussian distribution;power-line communication;power-line noise
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-203730DOI: 10.1109/TPWRD.2011.2164814ISI: 000298981800073ScopusID: 2-s2.0-80054055005OAI: oai:DiVA.org:kth-203730DiVA: diva2:1082347
Note

QC 20170316

Available from: 2017-03-16 Created: 2017-03-16 Last updated: 2017-03-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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