DocumentCode
2039704
Title
LMS Algorithms for Noise Offset in Medium-Voltage Power Line Communication
Author
Gao Qiang ; Zhang Jun
Author_Institution
North China Electr. Power Univ., Baoding
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
Several methods are studied in order to improve the communication reliability. However, little methods are discussed aim at medium-voltage power line communication (MV-PLC). In this paper, the general idea of the noise elimination based on single-phase line has been changed. There is a new idea to use three-phase line for noise offset. By analysis of the noise correlation properties, the LMS adaptive algorithm is proposed. Simulation and test show that, regular LMS algorithm has high performance, but it is quite sensitive to the abrupt interference of power line noise. In order to resolve this problem, an modified least mean square algorithm gradient adaptive lattice algorithm (GAL) is proposed. The simulations indicate that GAL is able to resist the abrupt interference effectively. It possesses more advantages than regular LMS algorithm and at the same time, it has nearly the same performance to improve the signal-to-noise ration (SNR). With high performance, LMS algorithms are very fit for PLC.
Keywords
carrier transmission on power lines; gradient methods; interference suppression; least mean squares methods; power engineering computing; LMS adaptive algorithm; gradient adaptive lattice algorithm; least mean square algorithm; medium-voltage power line communication; noise correlation property; noise elimination; noise offset; single-phase line; Adaptive algorithm; Algorithm design and analysis; Interference; Lattices; Least mean square algorithms; Least squares approximation; Medium voltage; Power line communications; Resists; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072942
Filename
5072942
Link To Document