Robust audio localization with phase unwrapping
Kainan Chen, Jürgen T. Geiger, Walter Kellermann
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.
BibTeX
@inproceedings{icassp2017_robustaudiolocal,
title = {Robust audio localization with phase unwrapping},
author = {Kainan Chen and Jürgen T. Geiger and Walter Kellermann},
booktitle = {ICASSP 2017},
year = {2017}
}