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Compressive sensing techniques applied to narrowband power line communications

J. Matanza, S. Alexandres, C. Rodríguez-Morcillo

One of the most serious disturbances in Power Line Communications (PLC) is produced by the presence of impulsive noise sources in the transmission line. This paper analyses how impulsive noise affects the PLC communication’s performance from a theoretical and simulation point of view and proposes a signal processing method to enhance its robustness. Authors focus on a popular narrowband PLC solution to evaluate the improvement: PRIME. A simulation framework based on Matlab was developed to assess PRIME’s behaviour in an impulsive noise environment. In order to recreate a realistic scenario, narrowband noise parameters reported in the literature are used in a Middleton’s Class-A noise model. The performance is measured in terms of Bit Error Rate (VER) as a function of the Signal to Noise Ratio (SNR). Additionally, compressive sensing (CS) techniques are proposed as a method to improve PRIME’s performance in such environment. The application of this technique has only been proposed for broadband PLC technologies in the literature before. Results from simulations report an SNR gain of 9dB for the most robust communication mode. Moreover, since no modification is required in the transmitted signal, the proposed CS configuration can be applied to already existing systems and it is backwards compatible.


2013 IEEE International Conference on Signal Processing, Computing and Control - 2013 IEEE ISPCC, Shimla, Himachal Pradesh (India). 26-28 September 2013

Publication date: September 2013.



Citation:
J. Matanza, S. Alexandres, C. Rodríguez-Morcillo, Compressive sensing techniques applied to narrowband power line communications, 2013 IEEE International Conference on Signal Processing, Computing and Control - 2013 IEEE ISPCC. Shimla, India, 26-28 September 2013


    Research topics:
  • *Automation, Communications and Industrial Informatics

IIT-13-116A

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