An Adaptive Howling Canceller Using 2-Tap Linear Predictor

Akira Sogami, Yosuke Sugiura, Arata Kawamura, Youji Iiguni

Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan.

DOI: 10.4236/cs.2013.41002                

Abstract

This paper proposes an adaptive howling canceller using notch filter and 2-tap linear predictor, where howling consists of a single sinusoidal signal whose magnitude is much greater than other frequency’s magnitudes. The employed 2-tap linear predictor can quickly detect howling due to its high convergence speed. Although the output signal of the 2-tap linear predictor cannot be directly used as one of a howling canceller, we can obtain the frequency of howling from the filter coefficient. We utilize the filter coefficient of the 2-tap linear predictor to design a notch filter which achieves a very narrow elimination band. The designed notch filter removes only howling and retains other desired signals. Simulation results show that the proposed adaptive howling canceller can quickly detect and effectively remove howling.

Keywords

Howling Canceller; Linear Predictor; Notch Filter; Single Sinusoidal Signal; Convergence Speed

Conflicts of Interest

The authors declare no conflicts of interest.

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