Noise modeling and OFDM based receiver design in power-line communication
2012 (English)Conference paper (Refereed)
Electromagnetic interference, man-made noise and multi-path effects are the main causes of bit errors in power line communication (PLC). In this paper, frequency domain characteristics of the power-line noise are investigated. The noise amplitude distribution of each individual frequency in the spectrum is analyzed and a suitable noise amplitude distribution model is proposed. A soft-demodulation based receiver for the proposed noise model is derived and its performance is analyzed. In simulations, Zimmermann and Dostert’s wellknown PLC channel model is used. Correctness of the channel simulations is verified by measurements. Orthogonal Frequency Division Multiplexing (OFDM) with convolutional coding and soft-Viterbi decoding is used to evaluate the performance of the receiver under the proposed noise model in terms of the bit-error-rate (BER) for different signal-to-noise ratio values. It is shown that instead of using a Gaussian optimal receiver in an OFDM system for the whole spectrum, utilizing Generalized Gaussian Distribution based receivers with appropriate shape information for each individual subchannel significantly increases BER performance.
Place, publisher, year, edition, pages
2012. 1-1 p.
Gaussian distribution;OFDM modulation;Viterbi decoding;carrier transmission on power lines;convolutional codes;demodulation;electromagnetic interference;error statistics;frequency-domain analysis;multipath channels;radio receivers;OFDM based receiver;bit error rate;channel simulations;convolutional coding;electromagnetic interference;frequency domain characteristics;generalized Gaussian distribution;man-made noise;multipath effects;noise amplitude distribution;noise modeling;orthogonal frequency division multiplexing;power line communication;power line noise;soft demodulation;soft-Viterbi decoding;Analytical models;Bit error rate;Decoding;Gaussian distribution;Noise;OFDM;Receivers
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-203729DOI: 10.1109/ISGT.2012.6175715OAI: oai:DiVA.org:kth-203729DiVA: diva2:1082348
2012 IEEE PES Innovative Smart Grid Technologies (ISGT)