DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES

Hang Zheng; Chengwei Zhou; André L.F. de Almeida; Yujie Gu; Zhiguo Shi

doi:10.1109/ICASSP43922.2022.9747012

DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES

Hang Zheng
, Chengwei Zhou
, André L.F. de Almeida
, Yujie Gu
, Zhiguo Shi

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

10 Scopus citations

Abstract

In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation method is proposed for coprime planar array. To perform Nyquist-matched coarray signal processing, the completion of the coarray tensor corresponding to an augmented discontinuous virtual array is pursued. However, it is difficult to impose a low-rank regularization on the incomplete coarray tensor with slices of missing elements for its completion. To solve this problem, a structural tensorization approach is designed to reshape the incomplete coarray tensor into one with distributed missing elements. As such, a coarray tensor completion problem based on tensor nuclear norm minimization is formulated to complete these missing elements. By exploiting the filled virtual array obtained from the completed coarray tensor, a super-resolution DOA estimation can be achieved in closed-form.

Original language	English
Title of host publication	2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5053-5057
Number of pages	5
ISBN (Electronic)	9781665405409
DOIs	https://doi.org/10.1109/ICASSP43922.2022.9747012
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022 - Hybrid, Singapore Duration: 22 May 2022 → 27 May 2022

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2022-May
ISSN (Print)	1520-6149

Conference

Conference	2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022
Country/Territory	Singapore
City	Hybrid
Period	22/05/22 → 27/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE

Funding

This work was partially supported by the National Natural Science Foundation of China (No. 61901413, U21A20456), the National Key R&D Program of China (No. 2018YFE0126300), and the Zhejiang University Education Foundation Qizhen Scholar Foundation.

Funders	Funder number
Zhejiang University Education Foundation Qizhen Scholar Foundation
National Natural Science Foundation of China	61901413, U21A20456
National Key Research and Development Program of China	2018YFE0126300

Keywords

Coarray tensor
coprime planar array
direction-of-arrival estimation
tensor completion

Access to Document

10.1109/ICASSP43922.2022.9747012

Cite this

Zheng, H., Zhou, C., de Almeida, A. L. F., Gu, Y., & Shi, Z. (2022). DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES. In 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings (pp. 5053-5057). (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2022-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP43922.2022.9747012

Zheng, Hang ; Zhou, Chengwei ; de Almeida, André L.F. et al. / DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES. 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 5053-5057 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{c84b963a21f94247be88cbcfcc6a4db5,

title = "DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES",

abstract = "In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation method is proposed for coprime planar array. To perform Nyquist-matched coarray signal processing, the completion of the coarray tensor corresponding to an augmented discontinuous virtual array is pursued. However, it is difficult to impose a low-rank regularization on the incomplete coarray tensor with slices of missing elements for its completion. To solve this problem, a structural tensorization approach is designed to reshape the incomplete coarray tensor into one with distributed missing elements. As such, a coarray tensor completion problem based on tensor nuclear norm minimization is formulated to complete these missing elements. By exploiting the filled virtual array obtained from the completed coarray tensor, a super-resolution DOA estimation can be achieved in closed-form.",

keywords = "Coarray tensor, coprime planar array, direction-of-arrival estimation, tensor completion",

author = "Hang Zheng and Chengwei Zhou and \{de Almeida\}, \{Andr{\'e} L.F.\} and Yujie Gu and Zhiguo Shi",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE; 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022 ; Conference date: 22-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.1109/ICASSP43922.2022.9747012",

language = "אנגלית",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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

pages = "5053--5057",

booktitle = "2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings",

address = "ארצות הברית",

}

Zheng, H, Zhou, C, de Almeida, ALF, Gu, Y & Shi, Z 2022, DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES. in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2022-May, Institute of Electrical and Electronics Engineers Inc., pp. 5053-5057, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Hybrid, Singapore, 22/05/22. https://doi.org/10.1109/ICASSP43922.2022.9747012

DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES. / Zheng, Hang; Zhou, Chengwei; de Almeida, André L.F. et al.
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5053-5057 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2022-May).

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

TY - GEN

T1 - DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES

AU - Zheng, Hang

AU - Zhou, Chengwei

AU - de Almeida, André L.F.

AU - Gu, Yujie

AU - Shi, Zhiguo

PY - 2022

Y1 - 2022

N2 - In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation method is proposed for coprime planar array. To perform Nyquist-matched coarray signal processing, the completion of the coarray tensor corresponding to an augmented discontinuous virtual array is pursued. However, it is difficult to impose a low-rank regularization on the incomplete coarray tensor with slices of missing elements for its completion. To solve this problem, a structural tensorization approach is designed to reshape the incomplete coarray tensor into one with distributed missing elements. As such, a coarray tensor completion problem based on tensor nuclear norm minimization is formulated to complete these missing elements. By exploiting the filled virtual array obtained from the completed coarray tensor, a super-resolution DOA estimation can be achieved in closed-form.

AB - In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation method is proposed for coprime planar array. To perform Nyquist-matched coarray signal processing, the completion of the coarray tensor corresponding to an augmented discontinuous virtual array is pursued. However, it is difficult to impose a low-rank regularization on the incomplete coarray tensor with slices of missing elements for its completion. To solve this problem, a structural tensorization approach is designed to reshape the incomplete coarray tensor into one with distributed missing elements. As such, a coarray tensor completion problem based on tensor nuclear norm minimization is formulated to complete these missing elements. By exploiting the filled virtual array obtained from the completed coarray tensor, a super-resolution DOA estimation can be achieved in closed-form.

KW - Coarray tensor

KW - coprime planar array

KW - direction-of-arrival estimation

KW - tensor completion

UR - https://www.scopus.com/pages/publications/85131227326

U2 - 10.1109/ICASSP43922.2022.9747012

DO - 10.1109/ICASSP43922.2022.9747012

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85131227326

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 5053

EP - 5057

BT - 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022

Y2 - 22 May 2022 through 27 May 2022

ER -

Zheng H, Zhou C, de Almeida ALF, Gu Y, Shi Z. DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES. In 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5053-5057. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP43922.2022.9747012

DOA ESTIMATION VIA COARRAY TENSOR COMPLETION WITH MISSING SLICES

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this