International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 117 | Views: 192

Comparative Studies | Electronics & Communication Engineering | Tanzania | Volume 3 Issue 10, October 2014 | Rating: 6.8 / 10


Comparison of Convergence and BER Performance on LMS, RLS and NLMS in BPLC Systems

Mohammed Mjahid | Nixon Mtonyole


Abstract: Adaptive equalization techniques compensate for time dispersion introduced by band limited or frequency selective communication channel and combat the resulting inter-symbol interference (ISI) effect. When signals are transmitted on broadband power-line (BPL) channel, they undergo severe distortions. Typically, adaptive equalizers used in digital communication systems like BPL systems require an initial training period, during which a known data sequence is transmitted. A replica of this sequence is made available at the receiver in proper synchronization with the transmitter, making it possible for adjustments to be made to the equalizer coefficients in accordance with the adaptive filtering algorithm. However, in this paper, three algorithms for adapting transversal filter coefficient were studied, to compare their adaptation rate and BER performance on BPL channel. It has been shown that normalized least mean square (NLMS) algorithm performs better with a rate of convergence of about 150 iterations with an approximate MSE value of 25dB and with an Eb/No of 13dB NLMS algorithm achieve a BER of 10-5 compared to least mean square (LMS) and recursive least square (RLS) having a BER of 510-5 and 10-2 respectively.


Keywords: Powerline Communication System, Recursive Least Square, Least Mean Square, Normalized Least Mean Square


Edition: Volume 3 Issue 10, October 2014,


Pages: 1744 - 1749


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top