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Excitation Signals for Online Secondary Path Estimation in Active Noise Control

Authors:

Stefan Liebich, Christiane Antweiler, Peter Jax, and Peter Vary

Book Title:

Proceedings of German Annual Conference on Acoustics (DAGA)

Venue:

Aachen, Germany

Event Date:

14.-17.3.2016

Organization:

DEGA

Date:

Mar. 2016

ISBN:

978-3-93929-610-2

Language:

English

Abstract

For active noise control in audio devices such as headphones or hea- ring aids, the knowledge of the secondary path between the noise- cancellation loudspeaker and the error microphone is crucial for the per- formance. For the identification of this often time variant path a measu- rement or excitation signal is required. It should allow fast tracking, be robust as well as uncorrelated with respect to the ambient noise and be subjectively not too annoying. Most approaches proposed in the literature apply white Gaussian noise (WGN). So far, alternative options have largely been disregarded. In this contribution, we propose and investigate by example two different clas- ses of signals which are either objectively optimal or subjectively less disturbing but still effective. The first class consists of unnatural synthe- tic signals. Two representatives are the perfect sequences and perfect sweeps. These signals are characterized by an impulse-like autocorre- lation function. The second subjectively less disturbing class consists of signals derived from or shaped by natural sounds. One example is sea noise which exhibits a comparable spectral flatness as WGN but shows amplitude modulation over time. For the performance evaluation we use state-of-the-art noise cancellation algorithms.

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