Robust phase replication method for spatial aliasing problem in multiple sound sources localization
Chen K, Geiger JT, Jin W, Taghizadeh M, Kellermann W (2017)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2017
Pages Range: 195-199
Event location: New Paltz, NY
ISBN: 978-1-5386-1631-4
DOI: 10.1109/WASPAA.2017.8170022
Abstract
Most of multichannel sound source Direction Of Arrival (DOA) estimation algorithms suffer from spatial aliasing problems. The Interchannel Phase Differences (IPDs) are wrapped beyond the spatial aliasing frequency. This invalidates the DOA estimation due to significant errors. A real-time algorithm is proposed to address the general IPD wrapping problem for both single-source and multisource scenarios. The algorithm comprises two steps, IPD replication and denoising. In the first step, the obtained IPDs are replicated to all the possible 2π-periodic repetitions, thus performing the correct unwrapping while introducing errors inevitably. However, the replication can also emphasize the correct DOAs of the sources when the replicated matrix is transformed into a histogram. The second step contains a post-processing method supporting our method more robust for a noisy environment. A theoretical analysis and experimental results with simulations and real recordings show the robustness of our method.
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How to cite
APA:
Chen, K., Geiger, J.T., Jin, W., Taghizadeh, M., & Kellermann, W. (2017). Robust phase replication method for spatial aliasing problem in multiple sound sources localization. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 195-199). New Paltz, NY, US.
MLA:
Chen, Kainan, et al. "Robust phase replication method for spatial aliasing problem in multiple sound sources localization." Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY 2017. 195-199.
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