Multiple DOA estimation and blind source separation using estimation-maximization

Yuval Dorfan; Ofer Schwartz; Boaz Schwartz; Emanuël A.P. Habets; Sharon Gannot

doi:10.1109/ICSEE.2016.7806066

Multiple DOA estimation and blind source separation using estimation-maximization

Yuval Dorfan, Ofer Schwartz, Boaz Schwartz, Emanuël A.P. Habets, Sharon Gannot

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

A blind source separation technique in noisy environment is proposed based on spectral masking and minimum variance distortionless response (MVDR) beamformer (BF). Formulating the maximum-likelihood of the direction of arrivals (DOAs) and solving it using the expectation-maximization, enables the extraction of the masks and the associated MVDR BF as byproducts. The proposed direction of arrival estimator uses an explicit model of the ambient noise, which results in more accurate DOA estimates and good blind source separation. The experimental study demonstrates both the DOA estimation results and the separation capabilities of the proposed method using real room impulse responses in diffuse noise field.

Original language	English
Title of host publication	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509021529
DOIs	https://doi.org/10.1109/ICSEE.2016.7806066
State	Published - 4 Jan 2017
Event	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/Territory	Israel
City	Eilat
Period	16/11/16 → 18/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ICSEE.2016.7806066

Cite this

Dorfan, Y., Schwartz, O., Schwartz, B., Habets, E. A. P., & Gannot, S. (2017). Multiple DOA estimation and blind source separation using estimation-maximization. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 Article 7806066 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEE.2016.7806066

Dorfan, Yuval ; Schwartz, Ofer ; Schwartz, Boaz et al. / Multiple DOA estimation and blind source separation using estimation-maximization. 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

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abstract = "A blind source separation technique in noisy environment is proposed based on spectral masking and minimum variance distortionless response (MVDR) beamformer (BF). Formulating the maximum-likelihood of the direction of arrivals (DOAs) and solving it using the expectation-maximization, enables the extraction of the masks and the associated MVDR BF as byproducts. The proposed direction of arrival estimator uses an explicit model of the ambient noise, which results in more accurate DOA estimates and good blind source separation. The experimental study demonstrates both the DOA estimation results and the separation capabilities of the proposed method using real room impulse responses in diffuse noise field.",

author = "Yuval Dorfan and Ofer Schwartz and Boaz Schwartz and Habets, {Emanu{\"e}l A.P.} and Sharon Gannot",

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Dorfan, Y, Schwartz, O, Schwartz, B, Habets, EAP & Gannot, S 2017, Multiple DOA estimation and blind source separation using estimation-maximization. in 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016., 7806066, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Eilat, Israel, 16/11/16. https://doi.org/10.1109/ICSEE.2016.7806066

Multiple DOA estimation and blind source separation using estimation-maximization. / Dorfan, Yuval; Schwartz, Ofer; Schwartz, Boaz et al.
2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7806066 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dorfan Y, Schwartz O, Schwartz B, Habets EAP, Gannot S. Multiple DOA estimation and blind source separation using estimation-maximization. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7806066. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). doi: 10.1109/ICSEE.2016.7806066

Multiple DOA estimation and blind source separation using estimation-maximization

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