Non-Coherent Source Localization with Distributed Sensor Array Networks

Zhengyu Wan; Wei Liu; Peter Willett

doi:10.1109/SAM53842.2022.9827843

Non-Coherent Source Localization with Distributed Sensor Array Networks

Zhengyu Wan, Wei Liu, Peter Willett

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

The non-coherent source localization problem based on distributed sensor arrays can be formulated into a group sparsity based phase retrieval problem where only the magnitude (absolute value) of the received signals is available. Under such a framework, a two-dimensional localization method is proposed. Unlike traditional source localization methods, random phase errors at sensors of the distributed array will not affect estimation results by the proposed method. Simulation results indicate that the proposed non-coherent source localization method outperforms the traditional one in the presence of large phase errors, while still maintains an acceptable accuracy in the absence of phase errors.

Original language	English
Title of host publication	2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Publisher	IEEE Computer Society
Pages	86-90
Number of pages	5
ISBN (Electronic)	9781665406338
DOIs	https://doi.org/10.1109/SAM53842.2022.9827843
Publication status	Published - Jul 2022
Event	12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 - Trondheim, Norway Duration: 20 Jun 2022 → 23 Jun 2022

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2022-June
ISSN (Electronic)	2151-870X

Conference

Conference	12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Country/Territory	Norway
City	Trondheim
Period	20/06/22 → 23/06/22

Keywords

distributed sensor array
group sparsity
magnitude-only measurements
non-coherent detection
Target localization

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

More information

10.1109/SAM53842.2022.9827843

Cite this

Wan, Z., Liu, W., & Willett, P. (2022). Non-Coherent Source Localization with Distributed Sensor Array Networks. In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 (pp. 86-90). (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2022-June). IEEE Computer Society. https://doi.org/10.1109/SAM53842.2022.9827843

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title = "Non-Coherent Source Localization with Distributed Sensor Array Networks",

abstract = "The non-coherent source localization problem based on distributed sensor arrays can be formulated into a group sparsity based phase retrieval problem where only the magnitude (absolute value) of the received signals is available. Under such a framework, a two-dimensional localization method is proposed. Unlike traditional source localization methods, random phase errors at sensors of the distributed array will not affect estimation results by the proposed method. Simulation results indicate that the proposed non-coherent source localization method outperforms the traditional one in the presence of large phase errors, while still maintains an acceptable accuracy in the absence of phase errors.",

keywords = "distributed sensor array, group sparsity, magnitude-only measurements, non-coherent detection, Target localization",

author = "Zhengyu Wan and Wei Liu and Peter Willett",

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year = "2022",

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doi = "10.1109/SAM53842.2022.9827843",

language = "English",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

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Wan, Z, Liu, W & Willett, P 2022, Non-Coherent Source Localization with Distributed Sensor Array Networks. in 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2022-June, IEEE Computer Society, pp. 86-90, 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022, Trondheim, Norway, 20/06/22. https://doi.org/10.1109/SAM53842.2022.9827843

Non-Coherent Source Localization with Distributed Sensor Array Networks. / Wan, Zhengyu; Liu, Wei; Willett, Peter.
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE Computer Society, 2022. p. 86-90 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2022-June).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - The non-coherent source localization problem based on distributed sensor arrays can be formulated into a group sparsity based phase retrieval problem where only the magnitude (absolute value) of the received signals is available. Under such a framework, a two-dimensional localization method is proposed. Unlike traditional source localization methods, random phase errors at sensors of the distributed array will not affect estimation results by the proposed method. Simulation results indicate that the proposed non-coherent source localization method outperforms the traditional one in the presence of large phase errors, while still maintains an acceptable accuracy in the absence of phase errors.

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Non-Coherent Source Localization with Distributed Sensor Array Networks

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