2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals

Lu Wang; Lifan Zhao; Qiang Wang; Xiangyang Zeng; Guoan Bi

doi:10.1109/TENCON.2016.7848512

2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals

Lu Wang, Lifan Zhao, Qiang Wang, Xiangyang Zeng, Guoan Bi

School of Marine Science and Technology

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

1 Scopus citations

Abstract

We propose in this paper a joint direction of arrival (DOA) and frequency estimation method for the harmonic acoustic signals impinging on a uniform linear sensor array. Instead of treating the estimations of DOA and frequency as two separated problems, where the sparsity in one dimension can merely be considered, we exploit the 2D sparsity, i.e., the sparsity in both spatial and frequency domains to achieve two dimensional high resolution. In addition, due to the fact that harmonics with the same fundamental frequency are probably belonging to the same source, the joint spasity is further considered to estimate each DOA among different frequencies to eliminate the spatial aliasing. Results of numerical simulations show that the proposed method outperforms the current state-of-the-art ones for harmonic acoustic signals.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2619-2623
Number of pages	5
ISBN (Electronic)	9781509025961
DOIs	https://doi.org/10.1109/TENCON.2016.7848512
State	Published - 8 Feb 2017
Event	2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore Duration: 22 Nov 2016 → 25 Nov 2016

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2016 IEEE Region 10 Conference, TENCON 2016
Country/Territory	Singapore
City	Singapore
Period	22/11/16 → 25/11/16

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10.1109/TENCON.2016.7848512

Cite this

Wang, L., Zhao, L., Wang, Q., Zeng, X., & Bi, G. (2017). 2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 2619-2623). Article 7848512 (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7848512

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abstract = "We propose in this paper a joint direction of arrival (DOA) and frequency estimation method for the harmonic acoustic signals impinging on a uniform linear sensor array. Instead of treating the estimations of DOA and frequency as two separated problems, where the sparsity in one dimension can merely be considered, we exploit the 2D sparsity, i.e., the sparsity in both spatial and frequency domains to achieve two dimensional high resolution. In addition, due to the fact that harmonics with the same fundamental frequency are probably belonging to the same source, the joint spasity is further considered to estimate each DOA among different frequencies to eliminate the spatial aliasing. Results of numerical simulations show that the proposed method outperforms the current state-of-the-art ones for harmonic acoustic signals.",

author = "Lu Wang and Lifan Zhao and Qiang Wang and Xiangyang Zeng and Guoan Bi",

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Wang, L, Zhao, L, Wang, Q, Zeng, X & Bi, G 2017, 2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals. in Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016., 7848512, IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., pp. 2619-2623, 2016 IEEE Region 10 Conference, TENCON 2016, Singapore, Singapore, 22/11/16. https://doi.org/10.1109/TENCON.2016.7848512

2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals. / Wang, Lu; Zhao, Lifan; Wang, Qiang et al.
Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2619-2623 7848512 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

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AU - Wang, Lu

AU - Zhao, Lifan

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N2 - We propose in this paper a joint direction of arrival (DOA) and frequency estimation method for the harmonic acoustic signals impinging on a uniform linear sensor array. Instead of treating the estimations of DOA and frequency as two separated problems, where the sparsity in one dimension can merely be considered, we exploit the 2D sparsity, i.e., the sparsity in both spatial and frequency domains to achieve two dimensional high resolution. In addition, due to the fact that harmonics with the same fundamental frequency are probably belonging to the same source, the joint spasity is further considered to estimate each DOA among different frequencies to eliminate the spatial aliasing. Results of numerical simulations show that the proposed method outperforms the current state-of-the-art ones for harmonic acoustic signals.

AB - We propose in this paper a joint direction of arrival (DOA) and frequency estimation method for the harmonic acoustic signals impinging on a uniform linear sensor array. Instead of treating the estimations of DOA and frequency as two separated problems, where the sparsity in one dimension can merely be considered, we exploit the 2D sparsity, i.e., the sparsity in both spatial and frequency domains to achieve two dimensional high resolution. In addition, due to the fact that harmonics with the same fundamental frequency are probably belonging to the same source, the joint spasity is further considered to estimate each DOA among different frequencies to eliminate the spatial aliasing. Results of numerical simulations show that the proposed method outperforms the current state-of-the-art ones for harmonic acoustic signals.

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Wang L, Zhao L, Wang Q, Zeng X, Bi G. 2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2619-2623. 7848512. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2016.7848512

2D sparsity for joint DOA and frequency estimation of harmonic acoustic signals

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