The DMT Power Line Channel Sparse Bayesian Regression Estimation Based on Communication System

2014 ◽  
Vol 960-961 ◽  
pp. 1308-1311
Author(s):  
Yi Pei Huang ◽  
Ya Jun Han ◽  
Bao Fan Chen
Keyword(s):  
Channel Estimation ◽  
Bayesian Learning ◽  
Estimation Method ◽  
Power Line ◽  
Previous Method ◽  
Bayesian Regression ◽  
Estimation Model ◽  
Power Line Communications ◽  
Learning Framework ◽  
Performance Curves

This paper introduces the power line communications channel estimation method based on sparse Bayesian regression, it is through the use of Bayesian learning framework that provides a sparse model in the presence of noise accurate channel estimation model. Improved channel estimation using the power line for the system to consider the frequency domain equalization (FREQ) transmitter and receiver, the bit error rate and comparing the two methods for generating various channel estimation techniques, and (BER) performance curves simulation the results show that the performance of the method is better than the previous method of least squares technique.

scholarly journals Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Ashraf A. Tahat ◽  
Nikolaos P. Galatsanos
Keyword(s):  
Channel Estimation ◽  
Bayesian Learning ◽  
Linear Models ◽  
Estimation Method ◽  
Relevance Vector Machine ◽  
Sparse Bayesian Learning ◽  
Discrete Multitone ◽  
Learning Framework ◽  
Channel Estimate ◽  
Sparse Solutions

A new channel estimation method for discrete multitone (DMT) communication system based on sparse Bayesian learning relevance vector machine (RVM) method is presented. The Bayesian frame work is used to obtain sparse solutions for regression tasks with linear models. By exploiting a probabilistic Bayesian learning framework, sparse Bayesian learning provides accurate models for estimation and consequently equalization. We consider frequency domain equalization (FEQ) using the proposed channel estimate at both the transmitter (preequalization) and receiver (postequalization) and compare the resulting bit error rate (BER) performance curves for both approaches and various channel estimation techniques. Simulation results show that the proposed RVM-based method is superior to the traditional least squares technique.

A Broadband Power Line Channel Estimation Method

Frequenz ◽  
2002 ◽  
Vol 56 (7-8) ◽  
Author(s):  
Matthias Götz ◽  
Manfred Zimmermann ◽  
Klaus Dostert
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Power Line

Compressed Sensing Aided Channel Estimation for Power Line Communications

2014 ◽  
Vol 1046 ◽  
pp. 281-284 ◽  
Author(s):  
Xuan Liu ◽  
Da Peng Lin ◽  
Ye Shen He
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Communication Systems ◽  
Sampling Rate ◽  
Power Line ◽  
Random Projections ◽  
Power Line Communication ◽  
Power Line Communications ◽  
Pilot Symbols ◽  
Estimation Scheme

In this paper, we address a channel estimation scheme for power line communication systems based on compressed sensing techniques. With the properly designed pilot symbols, the received signals at the receiver can be reconstructed from a set of random projections, benefiting from a reduced sampling rate. Moreover, we propose a novel channel estimation structure for PLC systems, which can be applied for appropriate system design. Eventually, simulation results demonstrate that the proposed algorithm outperforms other algorithms and reduces the sample rate significantly.

Channel Estimation Based on Compressed Sensing Technique for Low-Voltage Power Line Communication

2018 ◽  
Vol 13 (10) ◽  
pp. 1468-1472
Author(s):  
Tao Liu ◽  
Yong-Jian Wang ◽  
Yu-Fei Zhao
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Orthogonal Frequency Division Multiplexing ◽  
Low Voltage ◽  
Matching Pursuit ◽  
Estimation Method ◽  
Power Line ◽  
Power Line Communication ◽  
Ofdm Systems ◽  
Channel Information

Broadband low-voltage power line communication (PLC) has many advantages including less investment cost, construction speed, and convenient access. Since the orthogonal frequency division multiplexing (OFDM) technology has strong anti-jamming and anti-frequency selective fading characteristics naturally it becomes a better low voltage power line communication solution. We proposed an OFDM channel estimation method based on compressed sensing (CS) technique according to the channel characteristics of low-voltage power lines. CS algorithm in OFDM system was discussed and an orthogonal matching pursuit (OMP) algorithm was applied to reconstruct the PLC channel information. The simulation results showed that the communication channel estimation method based on CS technique was feasible in PLC system, and the validity of information transmission in OFDM systems can be enhanced.

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