Abstract
In this work, the effects of different types of noise on Power Line Communications (PLC) channel have been measured and analysed. Adaptive Noise Canceller (ANC) using Least Mean Square (LMS) filter algorithm has been used to mitigate the noise. The LMS filter has proved to be effective in cancellation of both impulsive and Gaussian noise. Simulation results show that the use of the LMS filter decreases the bit error rate (BER) from 0.22 to 4.1 × 10−5 for the same signal to noise ratio (SNR) value.
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Rajkumarsingh, B., Sokappadu, B.N. (2019). Noise Mitigation in a Power Line Communication Channel. In: Fleming, P., Lacquet, B., Sanei, S., Deb, K., Jakobsson, A. (eds) Smart and Sustainable Engineering for Next Generation Applications. ELECOM 2018. Lecture Notes in Electrical Engineering, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-030-18240-3_17
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DOI: https://doi.org/10.1007/978-3-030-18240-3_17
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