Noise Measurement and Analysis in a Power Line Communication Channel

Rajkumarsingh, B.; Sokappadu, Bhargava

doi:10.1007/978-3-319-52171-8_6

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the complexity analysis of LMMSE-IPSO based on computing the inertia weight using (20) can be written as…”

Section: Proposed Optimized Ls and Lmmse Algorithms Based On The Impr...mentioning

confidence: 99%

“…These together are capable of reasonably degrading the signal quality during transmission. Specifically, the noise in the BB-PLC channel consists of coloured background noise, narrowband noise and the most disruptive impulsive noise [19], [20]. After transmission, the received data at the receiver side is first converted from serial data into parallel data before the cyclic prefix is removed.…”

Section: A Simulation Set-upmentioning

confidence: 99%

See 1 more Smart Citation

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.

View full text Add to dashboard Cite

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.

show abstract

“…Similarly, the complexity analysis of LMMSE-IPSO based on computing the inertia weight using (20) can be written as…”

Section: Proposed Optimized Ls and Lmmse Algorithms Based On The Impr...mentioning

confidence: 99%

Section: A Simulation Set-upmentioning

confidence: 99%