Adaptive Noise Mitigation in Impulsive Environment: Application to Power-Line Communications

Ndo, Gaetan; Siohan, Pierre; Hamon, Marie-Hélène

doi:10.1109/tpwrd.2009.2035505

Cited by 94 publications

(80 citation statements)

References 23 publications

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“…In this work, we focus on the mitigation of asynchronous impulsive noise, for which the common methods include clipping or blanking [8][9][10][11]. In [8,9], the optimal clipping and blanking thresholds are derived in closed-form under the conditions that the occurrence probability of impulsive noise and the noise power can be perfectly estimated at the receiver.…”

Section: Introductionmentioning

confidence: 99%

“…In [8,9], the optimal clipping and blanking thresholds are derived in closed-form under the conditions that the occurrence probability of impulsive noise and the noise power can be perfectly estimated at the receiver. In [10], the method of moments (MoM) is used to estimate the parameters and update adaptively the thresholds on assuming that the statistics of impulsive noise maintains stationary in a long period. In [11], a framework of optimal blanking threshold (OBT) estimation is proposed based on the peak-to-average power ratio (PAPR) of signals.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Impulsive Noise Mitigation for OFDM Systems Using the Alternating Direction Method of Multipliers

2018

Mathematical Problems in Engineering

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An efficient impulsive noise estimation algorithm based on alternating direction method of multipliers (ADMM) is proposed for OFDM systems using quadrature amplitude modulation (QAM). Firstly, we adopt the compressed sensing (CS) method based on the ℓ 1 -norm optimization to estimate impulsive noise. Instead of the conventional methods that exploit only the received signal in null tones as constraint, we add the received signal of data tones and QAM constellations as constraints. Then a relaxation approach is introduced to convert the discrete constellations to the convex box constraints. After that a linear programming is used to solve the optimization problem. Finally, a framework of ADMM is developed to solve the problem in order to reduce the computation complexity. Simulation results for 4-QAM and 16-QAM demonstrate the practical advantages of the proposed algorithm over the other algorithms in bit error rate performance gains.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Impulsive Noise Mitigation for OFDM Systems Using the Alternating Direction Method of Multipliers

2018

Mathematical Problems in Engineering

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“…Background noise is often modeled as additive white Gaussian noise (AWGN) [5], [6]. IN, on the other hand, can be further classified as synchronous and asynchronous and several models for each type can be found in the literature [4], [7].…”

Section: Introductionmentioning

confidence: 99%

Asynchronous impulsive noise mitigation based on subspace support estimation for PLC systems

Shrestha¹,

Mestre²,

Payaró³

2016

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

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An asynchronous impulsive noise mitigation algorithm is proposed for power line communication (PLC) systems. Multiple techniques have been proposed in the literature in order to mitigate asynchronous impulsive noise to enable PLC, e.g., in smart grid applications. Most of the schemes proposed so far are based on non-linear methods, such as clipping and nulling. Even though these non-linear schemes reduce bit error rate (BER) by a significant amount, it will be shown in this paper that they can be easily outperformed by the proposed linear method.The performance improvement of the proposed algorithm comes from the fact that the identification of true locations of impulsive noise samples is very accurate, so that the reduction of the impulsive noise is only carried out at the truly contaminated samples of the received signal. This approach avoids typical problems encountered in clipping and nulling algorithms, where samples besides the ones containing the impulsive noise are also affected, thus creating additional distortion in the received signal. The superior performance of the proposed scheme is demonstrated via numerical simulations.

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“…[4] first suggest a de-noising technique that uses the spatial correlation between adjacent scales to detect PQ events in low signal-to-noise ratio (SNR) [5] . In that model, the noisy power line (or received) signal   is represented as…”

Section: ⅰ Introductionmentioning

confidence: 99%

“…We simulate various PQ events over impulsive noise channels, for which the two impulsive noise parameters are set   ,    [5] . The results in Table 3 confirm that the proposed scheme is superior to the conventional scheme (see ( ) in Table 2) even at the impulsive conditions.…”

Section: ⅰ Introductionmentioning

confidence: 99%

Wavelet De-Noising for Power Quality Event Detection

Ramzan¹,

Yoo²,

Choe³

2016

The Journal of Korean Institute of Communications and Informati

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BSTRACTThe noise in a power signal degrades the detection rate of the power quality (PQ) event signals. We present a new wavelet de-noising technique for PQ event detection that employs the correlation-based thresholding instead of the wavelet-scale-based thresholding of existing schemes.The simulation results show that the proposed scheme is more robust to Gaussian and impulsive noisy conditions and has further improved detection ratio than existing schemes.

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Adaptive Noise Mitigation in Impulsive Environment: Application to Power-Line Communications

Cited by 94 publications

References 23 publications

Efficient Impulsive Noise Mitigation for OFDM Systems Using the Alternating Direction Method of Multipliers

Efficient Impulsive Noise Mitigation for OFDM Systems Using the Alternating Direction Method of Multipliers

Asynchronous impulsive noise mitigation based on subspace support estimation for PLC systems

Wavelet De-Noising for Power Quality Event Detection

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