Title :
Manifold signal receiver for powerline communication systems
Author :
Mustafa, H.D. ; Karamchandani, S.H. ; Merchant, S.N. ; Desai, U.B.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. - Bombay, Mumbai, India
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.
Keywords :
blind equalisers; carrier transmission on power lines; channel estimation; data communication; neural nets; receivers; signal classification; telecommunication computing; OCENN; data transmission; intelligent blind channel estimation scheme; manifold signal receiver; multiple signal transmission; optimized coulomb energy neural network; powerline communication system; real time PLC low voltage system; signal classification; signal decoupling; singular medium; telephone transmission; television transmission; universal communication system; universal powerline receiver; Channel estimation; Modems; Neurons; OFDM; Pattern classification; Receivers; Vectors; Channel Estimation; Modem; Neural Networks; Powerline Communications;
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0029-3
DOI :
10.1109/ICICS.2011.6174316