High-resolution sound source localization via non-synchronous measurements based on symmetric sparse planar array in the differential domain.

Saved in:
Bibliographic Details
Title: High-resolution sound source localization via non-synchronous measurements based on symmetric sparse planar array in the differential domain.
Authors: Lv, Dong1 (AUTHOR) dong.lv2024@stu.hebut.edu.cn, Feng, Guojin1 (AUTHOR) G.Feng@hebut.edu.cn, Zhen, Dong1,2 (AUTHOR) D.Zhen@hebut.edu.cn, Sun, Guohua3 (AUTHOR) sunguohua@maili.ioa.ac.cn, Tang, Weijie4 (AUTHOR) weijie.tang@hud.ac.uk, Gu, Fengshou4 (AUTHOR) F.Gu@hud.ac.uk
Source: ISA Transactions. Sep2026, Vol. 176, p604-626. 23p.
Subjects: Array processing, Acoustic localization, Matrices (Mathematics)
Abstract: To overcome the resolution limitations of conventional array topologies and non-synchronous measurement (NSM), the extended symmetric coprime and symmetric nested planar arrays with high-performance difference co-array are designed. A localization method of NSM based on symmetric sparse planar array (NSM-SSPA) is proposed that maps physical signals to equivalent difference co-array signals and completes a large cross-spectral matrix in the differential domain to greatly improve localization performance. Simulations demonstrate that the NSM-SSPA significantly enhances resolution across various frequencies and signal-to-noise ratios compared to uniform arrays. Experiments verify that this method achieves high-resolution imaging of two adjacent faulty bearings, maintaining root mean square error within 0.1 m at different rotational speeds. This fusion framework of topology and NSM provides a reliable solution for abnormal source localization. [Display omitted] • The symmetric topologies with a high-performing difference co-array were designed. • A symmetric sparse planar array-based non-synchronous measurement model was derived. • The advantage of the method was verified by simulations under different conditions. • Experiments on faulty bearings achieved high-resolution imaging of abnormal sources. [ABSTRACT FROM AUTHOR]
Copyright of ISA Transactions is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:To overcome the resolution limitations of conventional array topologies and non-synchronous measurement (NSM), the extended symmetric coprime and symmetric nested planar arrays with high-performance difference co-array are designed. A localization method of NSM based on symmetric sparse planar array (NSM-SSPA) is proposed that maps physical signals to equivalent difference co-array signals and completes a large cross-spectral matrix in the differential domain to greatly improve localization performance. Simulations demonstrate that the NSM-SSPA significantly enhances resolution across various frequencies and signal-to-noise ratios compared to uniform arrays. Experiments verify that this method achieves high-resolution imaging of two adjacent faulty bearings, maintaining root mean square error within 0.1 m at different rotational speeds. This fusion framework of topology and NSM provides a reliable solution for abnormal source localization. [Display omitted] • The symmetric topologies with a high-performing difference co-array were designed. • A symmetric sparse planar array-based non-synchronous measurement model was derived. • The advantage of the method was verified by simulations under different conditions. • Experiments on faulty bearings achieved high-resolution imaging of abnormal sources. [ABSTRACT FROM AUTHOR]
ISSN:00190578
DOI:10.1016/j.isatra.2026.05.017