An improved LMMSE channel estimation algorithm for OFDM-based low voltage power line

Sheng, Liu Xiao; He, Sun; Pu, Gu Xuan; Guo, Xu

doi:10.1109/itec-ap.2017.8080814

Cited by 2 publications

(10 citation statements)

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“…As the received time-domain signal is impaired by unknown time-varying impulse responses and noises of BB-PLC channels, channel estimation is crucial for receivers to recover the transmitted signal in PLC systems. As stated previously, the LS [6] [11], [13] and LMMSE [9] are indisputably the most commonly used channel estimation algorithms for OFDM-based PLC systems. In addition, the PSO algorithm can be applied for effective and efficient channel estimation in PLC systems [6].…”

Section: Bb-plc Channel Estimation Algorithmsmentioning

confidence: 99%

“…The LS estimation method forms the basis of many other channel estimation algorithms and consists of the multiplication of the received pilot data block by the inverse of the transmitted pilot data block. In this case, channel estimation for each sub-carrier of OFDM based on the LS algorithm can be expressed as [9]:…”

Section: A Ls Algorithmmentioning

confidence: 99%

“…However, the LS is very sensitive and vulnerable to noise distortion effects, which can limit its performance in practical BB-PLC systems. This drawback can best be described by the MSE of the LS estimation, which is expressed as [9]:…”

Section: A Ls Algorithmmentioning

confidence: 99%

“…For this reason, a plethora of channel estimation methods have been published in the literature for OFDM-based PLC channels which can generally be put into two main categories: 1) pilot-aided [4] [5], e.g., Least Square (LS) [6], Particle Swarm Optimization (PSO) [6], Maximum-Likelihood (ML) [8] complementary sequences [2], Linear Minimum Mean Square Error (LMMSE) [9],…”

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confidence: 99%

“…Other researchers proposed modulation techniques that are tailored to be resilient to the noise interference effects of the PLC channels [15] in conjunction with traditional channel estimation methods. Among these channel estimators, the LS [6] and LMMSE [9] are the most commonly used methods. Although these channel estimation techniques reported improved results for OFDM-based BB-PLC channels, the reported results are suboptimal [6].…”

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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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Section: Bb-plc Channel Estimation Algorithmsmentioning

confidence: 99%

Section: A Ls Algorithmmentioning

confidence: 99%

Section: A Ls Algorithmmentioning

confidence: 99%

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confidence: 99%

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