학술논문

A Fractional Lower Order Statistics-Based MIMO Detection Method in Impulse Noise for Power Line Channel
Document Type
article
Source
Advances in Electrical and Computer Engineering, Vol 14, Iss 4, Pp 81-86 (2014)
Subject
alpha stable distribution
fractional lower order statistics
impulse noise
MIMO
power line channel
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Computer engineering. Computer hardware
TK7885-7895
Language
English
ISSN
1582-7445
1844-7600
Abstract
Impulse noise in power line communication (PLC) channel seriously degrades the performance of Multiple-Input Multiple-Output (MIMO) system. To remedy this problem, a MIMO detection method based on fractional lower order statistics (FLOS) for PLC channel with impulse noise is proposed in this paper. The alpha stable distribution is used to model impulse noise, and FLOS is applied to construct the criteria of MIMO detection. Then the optimal detection solution is obtained by recursive least squares algorithm. Finally, the transmitted signals in PLC MIMO system are restored with the obtained detection matrix. The proposed method does not require channel estimation and has low computational complexity. The simulation results show that the proposed method has a better PLC MIMO detection performance than the existing ones under impulsive noise environment.