1 Department of Electronic Systems, The Faculty of Engineering and Science (ENG), Aalborg University, VBN2 Multimedia Information and Signal Processing, The Faculty of Engineering and Science (ENG), Aalborg University, VBN3 The Faculty of Engineering and Science (TECH), Aalborg University, VBN4 Oticon A/S
The perhaps most challenging problem in acoustic feedback cancellation using adaptive filters is the bias problem. It is well-known that a probe noise approach can effectively prevent this problem. However, when the probe noise must be inaudible and the steady-state error of the adaptive filter must be unchanged, this approach causes a significantly decreased convergence rate of the adaptive filter, and might thereby be less useful in practical applications. In this work, we propose a new probe noise approach which significantly increases the convergence rate while maintaining the steady-state error of the adaptive algorithm in a multiple-microphone and single-loudspeaker audio system. This is obtained through a specifically designed probe noise signal and a corresponding probe noise enhancement strategy. We show the effects of the proposed probe noise approach by deriving analytical expressions for its system behavior, and through a simulation experiment in an acoustic feedback cancellation system.
Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop, 2012, p. 497-500
Main Research Area:
I E E E Workshop on Sensor Array and Multichannel Signal Processing
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012