Robust multipath channel estimation in the presence of impulsive noise

Yan, Kun; Zhang, Huawei; Wu, Hsiao-Chun

doi:10.1049/iet-com.2017.0374

Cited by 8 publications

(12 citation statements)

References 32 publications

(46 reference statements)

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“…The PSD of a narrowband noise, Sn(f), is modelled as a parametric Gaussian function given by [19][20]:…”

Section: B Noise Characteristics Of LV Bb-plc Channelmentioning

confidence: 99%

“…where, Ak= amplitude of the kth narrowband signal, f o,k = centre frequency, k B = bandwidth, N = narrowband interferences. Impulsive noise, which has short intervals with high spectral power, and hence proves to be a major contributor to erroneous data transmission over power lines can be modelled according to the IEEE 1901 standard as [19][20]:…”

Section: B Noise Characteristics Of LV Bb-plc Channelmentioning

confidence: 99%

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Efficient Low-Complexity Optimized Channel Estimating Methods for OFDM-Based Low-Voltage Broadband Power Line Communication Systems

Akpari

Nunoo

Deynu

et al. 2022

J. Microw. Optoelectron. Electromagn. Appl.

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Broadband Power Line Communication (BB-PLC) technology enables data transmission for smart grid applications. Nevertheless, channel equalizers are required in the receiver to estimate and compensate for the nonlinear time-variant impulse response and noise interference effects introduced by the BB-PLC channel. In this paper, we append the Particle Swarm Optimization (PSO) algorithm and its proposed improved version to the commonly used Least-Square (LS) and Linear Minimum Mean Square Error (LMMSE) algorithms to advance four new blocktype pilot-aided hybrid channel estimation algorithms for lowvoltage Orthogonal Frequency Division Multiplexing (OFDM)based BB-PLC systems. Extensive numerical simulation results for four different M-QAM formats (M = 8, 16, 32, 64) show that the proposed algorithms significantly improve the performance of the traditional LS and LMMSE estimators, at least for the parameters of the BB-PLC system studied in this work. In addition, the computational load complexity of the PSO-inspired LMMSE algorithm is lower compared to the conventional LMMSE estimator.

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“…The PSD of a narrowband noise, Sn(f), is modelled as a parametric Gaussian function given by [19][20]:…”

Section: B Noise Characteristics Of LV Bb-plc Channelmentioning

confidence: 99%

Section: B Noise Characteristics Of LV Bb-plc Channelmentioning

confidence: 99%

Efficient Low-Complexity Optimized Channel Estimating Methods for OFDM-Based Low-Voltage Broadband Power Line Communication Systems

Akpari

Nunoo

Deynu

et al. 2022

J. Microw. Optoelectron. Electromagn. Appl.

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show abstract

“…Literature also reveals some popular state-of-theart channel estimators based on the Bayesian learning technique [19][20][21]. Another state-of-the-art method is the iterative-based technique [22][23][24][25][26][27][28]. However, Bayesian learning techniques are complex and require prior knowledge of the initial values of estimated parameters.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Time-Domain Channel Estimation in Gaussian Mixture Model

Khan

Rauf

Jilani

et al. 2021

Mathematical Problems in Engineering

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The performance of time-domain channel estimation deteriorates due to the presence of Gaussian mixture model (GMM) noise, which results in high mean squared error (MSE) as a challenging issue. The performance of the estimator further decreases when the complexity of the estimator is high due to the high convergence rate. In this paper, an optimized channel estimation method is proposed with low complexity and high accuracy in the GMM environment. In this channel estimation, an improved Gauss-Seidel iterative method is utilized with a minimum number of iterations. The convergence rate of the Gauss-Seidel method is improved by estimating an appropriate initial guess value when no guard bands are used in the orthogonal frequency-division multiplexing (OFDM) symbol. Simulation results provide an acceptable MSE for GMM environments, up to the probability of 5% impulsive noise component. This paper also presents the design and implementation of the proposed estimator in the NEXYS-2 FPGA platform that provides resources allocation, reconfigurability, schematic, and the timing diagram for detailed insight.

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“…The traditional approaches for channel estimation are based on singular value decomposition. Although one can readily implement these methods, we need to know the number of time dispersions in advance, which is not commonly known in practical scenarios [1,2]. On the other hand, the subspace decomposition methods designed for Gaussian-type noise, are unable to estimate the channel parameters in the presence of impulsive noise.…”

Section: Introductionmentioning

confidence: 99%