基于稀疏贝叶斯学习的电力线载波通信接收机设计

doi:10.11959/j.issn.1000-0801.2017196

Abstract

Abstract:

Aiming at the problem of the influence of multipath channel and impulse noise on the performance of power line carrier communication system,a transceiver scheme for power line communication system was proposed which could effectively combat the influence of multipath channel and impulse noise.Firstly,the power line channel impulse response and the impulsive noise in the time domain were jointly viewed as a sparse vector.Then,the sparse Bayesian learning theory was adopted to estimate the power line channel and impulse noise jointly.The impulse noise was removed and the channel gain was compensated at the receiver.The simulation result shows that the proposed receiver scheme has better performance than traditional receiver considering channel estimation and impulse noise suppression separately.

Key words: power line carrier communication, channel estimation, impulsive noise, sparse Bayesian learning

CLC Number:

TN913

Xinrong LV,Youming LI,Mingchen YU. Design of transceivers based on sparse Bayesian learning for power line carrier communications[J]. Telecommunications Science, 2017, 33(9): 92-99.

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References 17

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