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Title: Channel Estimation of Power Line Communication using Back Propagation Algorithm
Authors: Vanitha, D R
Singh, P
Keywords: Power Line Communication (PLC)
Neural Networks (NN)
Multilayer perceptron (MLP)
Issue Date: Apr-2013
Citation: 2nd International Conference on Recent Advances in Sciences and Engineering (ICRASE 2013) April 29th,30th 2013 at Hyderabad.
Abstract: In the last few years a lot of research has been carried out in the field of deliverance of information for improving its efficiency and reliability. However, the systematic analysis and verification of channel performance triggered wide interest of new researchers. The popular technique for transmission of signals over wireless channels was orthogonal frequency division multiplexing (OFDM). In the present investigation, multilayer perceptron (MLP) based algorithm called back propagation algorithm has been proposed in power line communication. The present method (back propagation algorithm) is a OFDM based model which exploited for the channel estimation. Simulations on a realistic indoor power-line system show that the results obtained from the channel estimation using present model are significantly improved when compared with competitive neural network. It is also noteworthy to mention that the computational complexity is decreased using the present algorithm.
Description: Copyright belongs to proceeding publisher
Appears in Collections:Conference Papers

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