Enhanced Performance of Narrowband Power Line Communications using Recursive Least Squares Filter


  • B. Rajkumarsingh Department of Electrical & Electronic Engineering University of Mauritius Reduit, Mauritius
  • D. Seegolam Department of Electrical & Electronic Engineering University of Mauritius Reduit, Mauritius


Adaptive Noise Canceller, Recursive Least Squares Filter, Convolutional Codes, Power Line Communications,


Noises presented in a power line communication channel tend to distort the message signals, leading towards the reception of erroneous data at the receiver end. Mitigation of noise existent in power line has always been of prime interest and helped to improve the BER performance of a communication system as it accounts for efficient data transmission. In this work, adaptive filters based on the Recursive Least Squares (RLS) algorithm and Least Mean Square (LMS) algorithms have been implemented in Simulink to investigate the effectiveness of an Adaptive Noise Canceller for the mitigation of Gaussian and Impulsive Noises present in a narrowband power line channel model. The performance of the RLS algorithm against that of the LMS algorithm was compared in adaptive filtering for the same channel conditions. The error performances of BPSK and FSK schemes for the channel model in a generic digital communication system were also compared in Simulink. Furthermore, the use of convolutional codes and interleaving for the correction of random bit errors and for condensing the negative effect of burst errors respectively were investigated during the transmission of data signals over the generic communication system designed in Simulink. From the findings of the study, it has been concluded that the RLS algorithm proves to be more effective than the LMS algorithm. For a BER of 10-5, a coding gain of less than 10 dB is achievable for both Binary Phase Shift Keying and Binary Frequency Shift Keying. With the addition of convolutional coding and convolutional interleaving, the error performance of the channel is further improved, rendering the power line channel more reliable for data communication.


C. Lim, E. Gunawan, P. So, S. Chen, T. Lie and Y. Guan, "Development of a Test Bed for High-Speed Power Line Communications," in Power System Technology, 2000. Proceedings. PowerCon 2000, Perth,WA, 2000.

Çürük, Selva., “Impulsive Noise Models Used in Power Line Communications”. Balkan Journal of Electrical and Computer Engineering, vol. 7, pp. 115-122, 2019.

P. M. Sumi Mathew, "Periodic Impulsive Noise Reduction in OFDM Based Power Line Communication,"in International Journal of Research in Engineering and Technology, vol. 3, no. 5, 2014.

Laksir, Samir & Chaoub, Abdelaali & Tamtaoui, Ahmed, “Impulsive noise reduction techniques in power line communication: A survey”. International Journal of Autonomous and Adaptive Communications Systems, vol. 12, pp. 146-186, 2019.

S. Dixit, D. Nagaria, “LMS Adaptive Filters for Noise Cancellation: A Review”, International Journal of Electrical and Computer Engineering, Vol. 7, No. 5, October 2017, pp. 2520-2529.

V. Gauda, G. Kumarb and C. Kumar, “Mitigation of noise effect with the support of LMSand RL”, International Journal of Electronics Engineering, vo. 11, Issue 1, pp. 592-596, Jan 2019-June 2019.

H. Gassara, M. Bali, F. Duval, F. Rouissi and A. Ghazel, "Coupling interface circuit design for experimental characterization of the narrowband power line communication channel," in IEEE International Symposium on Electromagnetic Compatibility (EMC), Pittsburgh,PA, 2012.

S. Wei, W. Gao, L. Zhang and Z. Cao, "High frequency and broadband coupling characteristics of filter circuit based on low voltage power lines," Shandong University of Science and Technology, December 2011.

M. P. Sibanda, P. A. Janse van Rensburg and H. C. Ferreira, "Passive, transformerless coupling circuitry for narrow-band power line communications," in IEEE International Symposium on Power Line Communications and Its Applications (ISPLC), Dresden, pp. 125-130, April 2009.

Djiongue, Alain Richard & Ferreira, Hendrik.. “Power Line Communications (PLC) Technology: More Than 20 Years of Intense Research”, Transactions on Emerging Telecommunications Technologies, pp. 1-20, 2019.

M. Zimmerman and K. Dostert, "Analysis and Modelling of Impulsive Noise in Broadband Powerline Communications," in IEEE Transactions on Electromagnetic Compatibility, 2002.

M.Tanaka, "High frequency noise power spectrum,impedance and transmission loss of power line in Japan on intrabuilding power line communications," in IEEE Transactions on Consumer Electronics, 1988.

Y. Hirayama, H. Okada, T. Yamazato and M. Katayama, "Noise Analysis on Wide-Band PLC with High Sampling Rate and Long Oberservation Time.," in International Symposium on Power-Line communications and Its Application, Kyoto, Japan, 2003.

Varma, Mukesh & Jaffery, Zainul & Nasiruddin, Ibraheem., “Broadband Power Line Communication: The Channel and Noise Analysis for A Power Line Network”, International journal of Computer Networks & Communications, vol. 11, pp. 81-92, 2019.

A. Mehbood, L. Zhang, J. Khangosstar and K. Suwunnapuk, "Joint channel and impulsive noise estimation for OFDM based power line communication systems using compressed sensing," in International Symposium on Power Line Communications and Its Applications (ISPLC), Johannesburg, 2013.

S. Chaudhury and A. Sengupta, "Designing a filter bank and an adaptive filtering technique to eliminate noises in power line communication," in Power Engineering and Automation Conference (PEAM), IEEE, September 2012.

Ravinchandra, Krishna & Fei, Thang & Yong, Lau., “Active Noise Reduction using LMS and FxLMS Algorithms”. Journal of Physics: Conference Series. 1228. 012064. 10.1088/1742- 6596/1228/1/012064, 2019.

Mehmood, Hafiz & Ahmad, Rana & Yousuf, M.., “A Comprehensive Review of Adaptive Noise Cancellation Techniques in the Internet of Things”, pp.1-8, 2019.

B. Rajkumarsingh, Sokappadu B.N, “Noise Measurement and Analysis in a Power Line Communication Channel”. In: Fleming P., Vyas N., Sanei S., Deb K. (eds) Emerging Trends in Electrical, Electronic and Communications Engineering. ELECOM 2016. Lecture Notes in Electrical Engineering, Springer, Cham, 2017., vol. 416.

C. A. A. Meza and Y. J. Mohamadi, "Implementation of the LMS Algorithm for Noise Cancellation on Speech Using the ARM LPC2378 Processor," Master thesis, School of Mathematics and Systems Engineering, Vaxjo University, 2009.

MathWorks. “Overview of Adaptive Filters and Applications”[Online]. Available: http ://www.mathworks. com /help/dsp/ug/ overview-of-adaptive -filters-and applications.html. [Accessed January 2018].

N. Dahnoun, M. Hart and F. Umbarila, "Software optimaisation techniques for real-time adaptive filtering using the TMS320C6201 Digital Signal Processor," University of Bristol, 2000.

B. Rajkumarsingh and Sokappadu B. N., “Noise mitigation in a power line communication channel”, The 2nd International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering, ELECOM 2018, Springer Cham, Mauritius, 2018, pp. 196-207.




How to Cite

Rajkumarsingh, B., & Seegolam, D. (2019). Enhanced Performance of Narrowband Power Line Communications using Recursive Least Squares Filter. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 11(4), 45–54. Retrieved from https://jtec.utem.edu.my/jtec/article/view/5396