Abstract
Recently, powerline networks are increasingly employed for broadband data transmission such as internet, image and video delivery. Enhancing the quality of broadband transmission over powerline communication (PLC) channel is of utmost importance, which is an area of current interests. In this paper, we introduce the novel detection and noise reduction methods for PLC systems in impulsive noise environments. To reach this goal, a new adaptive recursive noise compensator (ARNC) algorithm is proposed. It is based on the iterative detection and estimation of the impulsive noise using the signal to impulsive noise power ratio (SINR), and the peak to average power ratio (PAPR) in the time domain after channel equalisation and demodulation. In fact, a new cliping/blanking function is introduced to estimate and detect the impulsive bursts. By evaluating the bit error rate (BER) and mean square error (MSE), the proposed technique illustrates high performance in an attenuated 15-paths condition.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Ad Hoc and Ubiquitous Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
