A robust and computationally efficient method for tonal active noise control using a simplified secondary path model

Abstract

We present a computationally efficient method for sinusoidal noise cancellation based on the FXLMS algorithm. It features subsampling in order to increase convergence speed and decrease computational requirements, and most importantly, does not require extra noise added to the filter output for secondary path identification. In addition, it is robust to secondary path variations and in low SNR scenarios, which are frequently found in practical active noise control systems, features fast tracking and can be directly generalized to multichannel systems. We illustrate its operation with simulations.