Title :
Adaptive harmonic noise cancellation with an application to distribution power line communications
Author :
Wang, Jin-Der ; Trussell, H. Joel
Author_Institution :
AT&T Bell Lab., Middletown, NJ, USA
fDate :
7/1/1988 12:00:00 AM
Abstract :
Adaptive LMS (least mean squares) filter are applied to cancel harmonic noise. Simulations were done using actual noise recorded at a distribution power substation. Two implementation methods are discussed. Using the characteristic properties of the noise, a constrained filter is proposed which greatly reduces computation without reducing its effectiveness. It is shown that both constrained and unconstrained adaptive noise cancellation filters can be used effectively. For either case, significant improvement in the error rate is obtained
Keywords :
carrier transmission on power lines; distribution networks; errors; filtering and prediction theory; filters; least squares approximations; noise; substations; LMS filter; adaptive harmonic noise cancellation; constrained adaptive noise cancellation filter; constrained filter; distribution power line communications; distribution power substation; error rate; least mean squares filter; unconstrained adaptive noise cancellation filters; Acoustic noise; Communication system control; Frequency; Noise cancellation; Power generation; Power harmonic filters; Power line communications; Power system harmonics; Remote monitoring; Substations;
Journal_Title :
Communications, IEEE Transactions on