JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT

Yuan Liu; Zhi Wei Tan; Andy W.H. Khong; Hongwei Liu

doi:10.1109/ICASSP43922.2022.9747566

JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT

Yuan Liu, Zhi Wei Tan, Andy W.H. Khong, Hongwei Liu

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

9 Citations (Scopus)

Abstract

This work addresses the source localization and association problem in a multipath propagation environment. By focusing on the limitation of the prior information in practical applications, we propose a target localization and association method based on iterative optimization with semi-unitary constraint and eigen-decomposition techniques. In contrast to the previous works, the proposed method can localize spatial sources and associate the incident paths to each source without prior knowledge pertaining to the propagation environment. Moreover, the proposed approach can be applied to an arbitrary array geometry without reducing the effective array aperture. Both simulations and real data experiments validate the effectiveness and robustness of the proposed method.

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	5123-5127
Number of pages	5
ISBN (Electronic)	9781665405409
DOIs	https://doi.org/10.1109/ICASSP43922.2022.9747566
Publication status	Published - 2022
Externally published	Yes
Event	47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore Duration: May 23 2022 → May 27 2022

Publication series

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

Conference

Conference	47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/Territory	Singapore
City	Virtual, Online
Period	5/23/22 → 5/27/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

association
Multipath propagation
overcomplete representation
semi-unitary constraint
source localization

Access to Document

10.1109/ICASSP43922.2022.9747566

Cite this

Liu, Y., Tan, Z. W., Khong, A. W. H., & Liu, H. (2022). JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT. In 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings (pp. 5123-5127). (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/ICASSP43922.2022.9747566

Liu, Yuan ; Tan, Zhi Wei ; Khong, Andy W.H. et al. / JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT. 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 5123-5127 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT",

abstract = "This work addresses the source localization and association problem in a multipath propagation environment. By focusing on the limitation of the prior information in practical applications, we propose a target localization and association method based on iterative optimization with semi-unitary constraint and eigen-decomposition techniques. In contrast to the previous works, the proposed method can localize spatial sources and associate the incident paths to each source without prior knowledge pertaining to the propagation environment. Moreover, the proposed approach can be applied to an arbitrary array geometry without reducing the effective array aperture. Both simulations and real data experiments validate the effectiveness and robustness of the proposed method.",

keywords = "association, Multipath propagation, overcomplete representation, semi-unitary constraint, source localization",

author = "Yuan Liu and Tan, {Zhi Wei} and Khong, {Andy W.H.} and Hongwei Liu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE; 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.1109/ICASSP43922.2022.9747566",

language = "English",

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

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

pages = "5123--5127",

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

address = "United States",

}

Liu, Y, Tan, ZW, Khong, AWH & Liu, H 2022, JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT. 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. 5123-5127, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, Virtual, Online, Singapore, 5/23/22. https://doi.org/10.1109/ICASSP43922.2022.9747566

JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT. / Liu, Yuan; Tan, Zhi Wei; Khong, Andy W.H. et al.
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5123-5127 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2022-May).

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

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T1 - JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT

AU - Liu, Yuan

AU - Tan, Zhi Wei

AU - Khong, Andy W.H.

AU - Liu, Hongwei

PY - 2022

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N2 - This work addresses the source localization and association problem in a multipath propagation environment. By focusing on the limitation of the prior information in practical applications, we propose a target localization and association method based on iterative optimization with semi-unitary constraint and eigen-decomposition techniques. In contrast to the previous works, the proposed method can localize spatial sources and associate the incident paths to each source without prior knowledge pertaining to the propagation environment. Moreover, the proposed approach can be applied to an arbitrary array geometry without reducing the effective array aperture. Both simulations and real data experiments validate the effectiveness and robustness of the proposed method.

AB - This work addresses the source localization and association problem in a multipath propagation environment. By focusing on the limitation of the prior information in practical applications, we propose a target localization and association method based on iterative optimization with semi-unitary constraint and eigen-decomposition techniques. In contrast to the previous works, the proposed method can localize spatial sources and associate the incident paths to each source without prior knowledge pertaining to the propagation environment. Moreover, the proposed approach can be applied to an arbitrary array geometry without reducing the effective array aperture. Both simulations and real data experiments validate the effectiveness and robustness of the proposed method.

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KW - overcomplete representation

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M3 - Conference contribution

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

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Y2 - 23 May 2022 through 27 May 2022

ER -

Liu Y, Tan ZW, Khong AWH, Liu H. JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT. In 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5123-5127. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP43922.2022.9747566

JOINT SOURCE LOCALIZATION AND ASSOCIATION THROUGH OVERCOMPLETE REPRESENTATION UNDER MULTIPATH PROPAGATION ENVIRONMENT

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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