For broadband power line communication systems, which may be incorporated with Orthogonal Frequency Division Multiplexing (OFDM) technique, the detrimental effect arising from strong and frequently occurred impulses is paramount as signaling on each subcarrier is simultaneously corrupted thanks to frequencydomain transformation on a per-OFDM symbol basis at the front-end receiver. In this perspective, channel coding epoch on the basis of per-OFDM symbol cannot effect the coding gain. Recently, clipping operation on received samples has been addressed as an effective approach to mitigate this incurring performance loss subject to impulsive noise, given the knowledge of the probability density function (PDF) of impulsive noise at receiver. In this paper, we forgo the a-priori knowledge of the PDF of impulsive noise but devise the threshold to clipping, only relying on the probability of occurrence of impulses. To attest our method, we conduct computer simulations in compliance with the IEEE 1901 standard over commonly adopted memoryless impulsive noise models. Promisingly, the proposed scheme is on par with its counterpart, where the threshold of a limiter is realized by assuming the PDF of impulsive channels perfectly known to receiver. In addition, the devised clipping scheme is shown to be robust against impulses of frequent occurrence characterized by excessively high energy in the signal-to-noise ratio range of interest, regardless of the impulsive noise model assumed.
Powerline communications, an enabling technology for data networking alternative, susceptible to impulse noise such that it is likely to miss an assured quality of service. Turbo coding has long served as an essential tool to overcome this obstacle. However, this comes at the cost of estimating the statistics of impulse noise, which is generally not timeinvariant and may change rapidly over time, further increasing receiver complexity. This study proposes clipping on trellis to avoid this problem. A corresponding decoder metric dictated by the clipping threshold, which is a function of the probability of guessing for the unknown impulse arrival probability, was properly formulated to leverage the coding gain. Regardless of the impulse noise model assumed, the simulation results in this study, in terms of bit error probability, show that the proposed decoding scheme is robust to impulse and performs fairly close to its sophisticated counterpart, which however fully exploits the statistics of the impulse noise.
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