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 :
بازگشت