Off-grid direction of arrival estimation based on acoustic vector sensor array

Weidong Wang; Qunfei Zhang; Wentao Shi; Weijie Tan; Xuhu Wang

doi:10.1109/ICSPCC46631.2019.8960684

Off-grid direction of arrival estimation based on acoustic vector sensor array

Weidong Wang, Qunfei Zhang, Wentao Shi, Weijie Tan, Xuhu Wang

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

1 Scopus citations

Abstract

The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.

Original language	English
Title of host publication	2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728117072
DOIs	https://doi.org/10.1109/ICSPCC46631.2019.8960684
State	Published - Sep 2019
Event	2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019 - Dalian, Liaoning, China Duration: 20 Sep 2019 → 22 Sep 2019

Publication series

Name	2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019

Conference

Conference	2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Country/Territory	China
City	Dalian, Liaoning
Period	20/09/19 → 22/09/19

Keywords

Acoustic vector sensor array
Alternating iterative way
Direction of arrival estimation
Off-grid model

Access to Document

10.1109/ICSPCC46631.2019.8960684

Cite this

Wang, W., Zhang, Q., Shi, W., Tan, W., & Wang, X. (2019). Off-grid direction of arrival estimation based on acoustic vector sensor array. In 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019 Article 8960684 (2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC46631.2019.8960684

Wang, Weidong ; Zhang, Qunfei ; Shi, Wentao et al. / Off-grid direction of arrival estimation based on acoustic vector sensor array. 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019).

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title = "Off-grid direction of arrival estimation based on acoustic vector sensor array",

abstract = "The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.",

keywords = "Acoustic vector sensor array, Alternating iterative way, Direction of arrival estimation, Off-grid model",

author = "Weidong Wang and Qunfei Zhang and Wentao Shi and Weijie Tan and Xuhu Wang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019 ; Conference date: 20-09-2019 Through 22-09-2019",

year = "2019",

month = sep,

doi = "10.1109/ICSPCC46631.2019.8960684",

language = "英语",

series = "2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019",

}

Wang, W, Zhang, Q , Shi, W, Tan, W & Wang, X 2019, Off-grid direction of arrival estimation based on acoustic vector sensor array. in 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019., 8960684, 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019, Dalian, Liaoning, China, 20/09/19. https://doi.org/10.1109/ICSPCC46631.2019.8960684

Off-grid direction of arrival estimation based on acoustic vector sensor array. / Wang, Weidong; Zhang, Qunfei ; Shi, Wentao et al.
2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8960684 (2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019).

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

TY - GEN

T1 - Off-grid direction of arrival estimation based on acoustic vector sensor array

AU - Wang, Weidong

AU - Zhang, Qunfei

AU - Shi, Wentao

AU - Tan, Weijie

AU - Wang, Xuhu

PY - 2019/9

Y1 - 2019/9

N2 - The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.

AB - The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.

KW - Acoustic vector sensor array

KW - Alternating iterative way

KW - Direction of arrival estimation

KW - Off-grid model

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BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019

Y2 - 20 September 2019 through 22 September 2019

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Wang W, Zhang Q , Shi W, Tan W, Wang X. Off-grid direction of arrival estimation based on acoustic vector sensor array. In 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8960684. (2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019). doi: 10.1109/ICSPCC46631.2019.8960684

Off-grid direction of arrival estimation based on acoustic vector sensor array

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