Robust audio localization with phase unwrapping

Chen K, Geiger J, Kellermann W (2017)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 471-475

Event location: New Orleans US

ISBN: 978-1-5090-4117-6

DOI: 10.1109/ICASSP.2017.7952200

Abstract

Most of multichannel sound source Direction Of Arrival (DOA) estimation algorithms suffer from spatial aliasing problems. The phase differences between a pair of microphones are wrapped beyond the spatial aliasing frequency. A common solution is to adjust the distance between the microphones to obtain a suitable aliasing frequency, and take only the frequency band below the aliasing frequency for localization. With correct phase unwrapping, a broader frequency band can be utilized for localization. In this paper, we investigate a method for phase unwrapping solving the spatial aliasing problem for scenarios with a single source and high-level diffuse background noise (around 0dB SNR). The aliasing frequency is estimated from the signal, and is used to unwrap a phase difference vector. Pre- and post-processing steps are applied to increase the robustness. Our experiments with a large number of simulated and real signals demonstrate the robustness of our method in noise.

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How to cite

APA:

Chen, K., Geiger, J., & Kellermann, W. (2017). Robust audio localization with phase unwrapping. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 471-475). New Orleans, US.

MLA:

Chen, Kainan, Jürgen Geiger, and Walter Kellermann. "Robust audio localization with phase unwrapping." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans 2017. 471-475.

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