Manifold signal receiver for powerline communication systems

Mustafa, H D and Karamchandani, S H and Merchant, S N and Desai, U B (2011) Manifold signal receiver for powerline communication systems. In: IEEE Communications Society,IEEE Singapore Section,Contact Singapore,National Instruments,Agilent Technologies,Texas Instruments, 13-16, December 2011, Singapore.

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Abstract

Amalgamation of multiple signal transmission through a singular medium is the paramount advantage offered in the Powerline Communications (PLC) architecture. We propose a PLC paradigm, which allows for one receiver to control all types of signals, effectively delineating a universal communication system. Firstly, when different types of signals are received on power lines the receiver needs intelligent channel estimation for decoupling these signals. An intelligent blind channel estimation scheme is proposed for achieving this. Secondly the received signals (telephone, broadband, radio, television etc.,) need to be classified and routed to the appropriate devices. To accomplish this we propose a novel optimized coulomb energy neural network (OCENN) for classification of incoming signals. Experimental results over real time PLC low voltage system shows that the Universal Powerline Receiver (UPR) achieves a throughput of 75 mbps, 63 mbps and 56 mbps at SNR of 30 dB for the data, telephone and television transmissions respectively. Comparative analysis of UPR with existing state of art OFDM and FMT modems is presented, which shows UPR as a viable prospective option.

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IITH Creators:
IITH CreatorsORCiD
Desai, U BUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Channel Estimation; Modem; Neural Networks; Powerline Communications
Subjects: Others > Electricity
Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Oct 2014 06:52
Last Modified: 13 Apr 2015 06:18
URI: http://raiith.iith.ac.in/id/eprint/506
Publisher URL: http://dx.doi.org/10.1109/ICICS.2011.6174316
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