Adaptive harmonic noise cancellation with an application to distribution power line communications

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. >