A method for analyzing the performance of comb-type pilot-aided channel estimation in power line communications

Bueche, D.; Corlay, Patrick; Gazalet, M.; Coudoux, François-Xavier

doi:10.1109/tce.2008.4637590

Cited by 17 publications

(10 citation statements)

References 16 publications

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“…Regarding CFR estimation, Bueche et al [37] proved that reducing the spacing between pilot tones or using complex interpolation kernels does not provide high gains to systems with error protection (e.g. channel coding, interleaving, etc.).…”

Section: B Noise Psd Estimation Based On Fc Symbol Re-encoding and Rmentioning

confidence: 99%

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Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

et al. 2019

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Communications over power lines (PLC) is a promising technology for a variety of applications. The use of a single network for power and data transmission with PLC provides weight, space, and cost savings for vehicular communications. Current work focuses on broadband PLC (BPL) systems compliant with the IEEE 1901 standard. Given that transmissions occur on a physical medium not designed for data communication, the channel and noise characteristics are mostly unfavorable. To deal with these conditions, turbo codes have been widely employed due to their high performance. However, their performance strongly depends on the accuracy of the noise estimation. This work addresses the estimation of the noise power spectral density (PSD) to perform soft-decoding. A general background noise (GBN) model and a narrowband interference (NBI) model is considered. To the best of our knowledge, this is the first work that analyzes the effects of the NBI leakage on noise estimation when it is performed during the reception of the data frame. We propose the use of the frame control (FC) symbol to reduce interference leakage on noise estimation. In addition, we investigate the use of payload symbols to further reduce spectral leakage. Finally, we show that system performance considerably improves by using the FC-based estimation in soft-decoding procedures. INDEX TERMS Frame control symbol, IEEE Std. 1901, narrowband interference, noise power spectral density estimation, soft-decoding, spectral leakage. I. INTRODUCTION Data communication over power lines is a promising technology for a variety of applications. At the turn of the century, power line communications (PLC) received a renewed interest driven by the increased popularity of Automatic Meter Reading (AMR) systems, Smart Grids and building automation [1]. As a result of this development a variety of standards emerged between 2010 and 2013 [2]-[5]. Specifically, technical advances in broadband PLC (BPL) systems enable a variety of applications besides AMR due to its higher data rate compared to older PLC systems. This work focuses on PLC systems operating in the 1.8-50 MHz range compliant with the IEEE 1901 Std. [2]. The associate editor coordinating the review of this manuscript and approving it for publication was Andrea M. Tonello.

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Section: B Noise Psd Estimation Based On Fc Symbol Re-encoding and Rmentioning

confidence: 99%

“…Our proposal aims to reduce the impact of NBI leakage on system performance by combining time windowing with soft-decision weighting. We evaluate the proposed estimation approaches in multipath channels contaminated by background noise and NBI [1], [19], [37].…”

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confidence: 99%

Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

et al. 2019

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“…We recall, in this section, the estimation error decomposition [1]. For each multi-carrier symbol, the set of the N P complex…”

Section: Estimation Error Decompositionmentioning

confidence: 99%

“…We analyze the PL channel estimation techniques whose performances depend on the chosen interpolation techniques. Our method is based on a unified mathematical decomposition of the channel estimation error, which takes into account the signal-to-noise ratio at the pilot sub-carrier locations, as well as the pilot spacing and the interpolation kernel used [1]. This method provides an interesting tool because it permits the best trade-off between complexity and performance to be identified.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the power line channel estimation error based on comb-type pilot arrangement

Bueche

Corlay

Coudoux

et al. 2009

2009 IEEE International Symposium on Power Line Communications and Its Applications

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In this paper, we analyze the error of channel estimation using the pilot tones associated with interpolation technique. Our method is based on a unified mathematical decomposition of the channel estimation error, which takes both the signal-to-noise ratio at pilot sub-carrier locations and the interpolation kernel used into account. This method has been recently proposed by the authors and illustrated over a channel model. We complete here the previous analysis and provide news results over a power line severe real channel.

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“…When the classical estimation techniques fail, robust estimation algorithms can be applied [24,25]. Bueche et al proposed a method for evaluating the performance of comb-type pilot-based channel estimation in PLC systems [26]. In [27], an optimized channel estimation algorithm based on a time-spread structure in an OFDM low-voltage PLC system was proposed.…”

Section: Introductionmentioning

confidence: 99%

A robust Bayesian inference-based channel estimation in power line communication systems contaminated by impulsive noise

Asadpour¹,

Tazehkand²,

Seyedarabi³

2016

Turk J Elec Eng & Comp Sci

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A method for analyzing the performance of comb-type pilot-aided channel estimation in power line communications

Cited by 17 publications

References 16 publications

Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

Analysis of the power line channel estimation error based on comb-type pilot arrangement

A robust Bayesian inference-based channel estimation in power line communication systems contaminated by impulsive noise

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