Noise Modeling and OFDM Receiver Design in Power-Line Communication
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
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.
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
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-203730DOI: 10.1109/TPWRD.2011.2164814ISI: 000298981800073ScopusID: 2-s2.0-80054055005OAI: oai:DiVA.org:kth-203730DiVA: diva2:1082347
QC 201703162017-03-162017-03-162017-03-16Bibliographically approved