Title :
Channel Estimation Based on Fuzzy Inference for OFDM System over Low Voltage Power Line
Author :
Zhang Rui ; Zhou Chao
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
Orthogonal Frequency Division Multiplexing (OFDM) technology, which can effectively combat frequency-selective fading properties caused by multi-path transmission, is the preferred scheme for low-voltage power line communication. Channel estimation is one of the crucial problems in OFDM system. In view of the actual channel transmission characteristics of Low-voltage power line, an adaptive variable step-size algorithm based on fuzzy inference (AVSF) is proposed, when a large noise signal appears, fuzzy reference can map the input variable into the suitable step gain in the output to enhance the ability of combating interference. The simulation results show the algorithm has good estimation performance, which can track the varying channel over low-voltage power line.
Keywords :
carrier transmission on power lines; channel estimation; frequency division multiplexing; fuzzy reasoning; fuzzy set theory; OFDM system; adaptive variable step-size algorithm; channel estimation; frequency-selective fading; fuzzy inference; low voltage power line; multipath transmission; orthogonal frequency division multiplexing; Automation; Channel estimation; Fading; Frequency division multiplexing; Fuzzy systems; Inference algorithms; Interference; Low voltage; OFDM; Power line communications;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5449480