Abstract

Robust detection algorithms capable of mitigating the effects of colored noise are of primary interest in communication systems operating on power line channels. In this paper, we present a sequence detection scheme based on linear prediction to be applied in single-carrier power line communications impaired by colored noise. The presence of colored noise and the need for statistical sufficiency requires the design of an optimal front-end stage, whereas the need for a low-complexity solution suggests a more practical suboptimal front-end. The performance of receivers employing both optimal and suboptimal front-ends has been assessed by means of minimum mean square prediction error (MMSPE) analysis and bit-error rate (BER) simulations. We show that the proposed optimal solution improves the BER performance with respect to conventional systems and makes the receiver more robust against colored noise. As case studies, we investigate the performance of the proposed receivers in a low-voltage (LV) power line channel limited by colored background noise and in a high-voltage (HV) power line channel limited by corona noise.

Highlights

  • In the last years, there has been a growing interest towards the possibility of exploiting existing power lines as effective transmission means [1, 2]

  • We propose a single-carrier PLC scheme based on linear prediction and multidimensional coding, which exhibits good improvements, in terms of signal-tonoise ratio (SNR) necessary to achieve a given bit-error rate (BER), with respect to state-of-the-art solutions

  • Main contributions of the article are the following: (1) to demonstrate and compare the performance, in terms of SNR, of suboptimal and optimal front ends; (2) for a given front end, to quantify the SNR improvements achievable by the linear predictive approach; (3) to address the complexity of the proposed solution by means of state reduction techniques such as trellis folding by set partitioning and per-survivor processing; (4) to extend the linear prediction algorithm to a multidimensional TCM code; (5) to demonstrate that the linear predictive detection is an advanced signal processing technique which may be effectively applied to power line communications in order to increase the system robustness to colored noise

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Summary

INTRODUCTION

There has been a growing interest towards the possibility of exploiting existing power lines as effective transmission means [1, 2]. We propose a single-carrier PLC scheme based on linear prediction and multidimensional coding, which exhibits good improvements, in terms of signal-tonoise ratio (SNR) necessary to achieve a given bit-error rate (BER), with respect to state-of-the-art solutions. In order to reduce the computational load of the linear predictive receiver, we apply reduced-state sequence detection techniques [26,27,28,29] such as “trellis folding by set partitioning” [30] and per-survivor processing (PSP) [29], and demonstrate the robustness of the proposed scheme in terms of BER and complexity with respect to standard solutions. (5) to demonstrate that the linear predictive detection is an advanced signal processing technique which may be effectively applied to power line communications in order to increase the system robustness to colored noise.

LINEAR PREDICTION RECEIVER
Optimal detector
Suboptimal detector
MULTIDIMENSIONAL LINEAR PREDICTION
Colored noise model
Channel model
Corona noise model
NUMERICAL RESULTS
Background noise
Low-voltage channel
High-voltage channel
CONCLUSIONS
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