Title :
A denoising method for electromagnetic disturbances on PLC systems
Author :
Fayad, Farah ; Bardouil, Daniel ; Gauthier, Frederic ; Zeddam, Ahmed ; Tlich, Mohamed
Author_Institution :
Orange Labs., Lannion, France
Abstract :
Impulsive noise is the main electromagnetic disturbance that damages the signal transmission in communication systems. This paper proposes an innovative approach for information signal denoising in time domain. This method is based on the Widrow´s adaptive denoising filter. We use this filter in order to reduce the impulsive noise effect when it happens. Our method can be implemented in all communications systems such as PLC, xDSL. In this paper we focus only on PLC systems. Cancelling impulsive noises added to the communication signals has the advantage to make better the Quality of Service (QoS) by diminishing the transmission errors. Simulations results demonstrated that the proposed denoising method is powerful as it successfully cancels the added noises. The method performances are evaluated into a PLC transmission chain compatible with the HomePlug AV standard. We show, in fact, that the amplitude of the Log Likelihood Ratio (LLR) errors before the channel decoder decreases with our method. This results in a better correcting capability for the decoder.
Keywords :
adaptive filters; carrier transmission on power lines; channel coding; electromagnetic interference; impulse noise; interference suppression; quality of service; signal denoising; time-domain analysis; PLC systems; Widrow adaptive denoising filter; channel decoder; communication signals; electromagnetic disturbances; impulsive noise; log likelihood ratio; quality of service; signal denoising method; signal transmission; time domain analysis; Adaptive filters; Band pass filters; Error correction codes; Finite impulse response filter; Noise; Noise reduction; OFDM; Adaptive filter; Impulsive Noise; PLC; Quality of Service; Transmission chain;
Conference_Titel :
EMC Europe 2011 York
Conference_Location :
York
Print_ISBN :
978-1-4577-1709-3