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Related Concept Videos

Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

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An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
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High-resolution sound source localization via non-synchronous measurements based on symmetric sparse planar array in

Dong Lv1, Guojin Feng1, Dong Zhen2

  • 1School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China.

ISA Transactions
|June 15, 2026
PubMed
Summary

This study introduces a novel symmetric sparse planar array (SSPA) for non-synchronous measurement (NSM) to enhance source localization resolution. The method significantly improves imaging accuracy for faulty bearings, offering a reliable solution for abnormal source detection.

Keywords:
Difference co-arrayDifferential domainHigh-resolution localizationNon-synchronous measurementSymmetric sparse planar array

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Area of Science:

  • Array Signal Processing
  • Acoustic and Mechanical Diagnostics

Background:

  • Conventional array topologies and non-synchronous measurement (NSM) face resolution limitations in source localization.
  • Existing methods struggle to achieve high-resolution imaging, particularly for closely spaced or complex sources.

Purpose of the Study:

  • To design advanced array topologies (extended symmetric coprime and symmetric nested planar arrays) for improved difference co-array performance.
  • To propose a novel non-synchronous measurement based on symmetric sparse planar array (NSM-SSPA) localization method.
  • To enhance the resolution and accuracy of abnormal source localization.

Main Methods:

  • Design of extended symmetric coprime and symmetric nested planar arrays.
  • Development of a NSM-SSPA method mapping physical signals to equivalent difference co-array signals.
  • Construction of a large cross-spectral matrix in the differential domain for enhanced localization.

Main Results:

  • Simulations show NSM-SSPA significantly enhances resolution across various frequencies and signal-to-noise ratios compared to uniform arrays.
  • Experiments demonstrate high-resolution imaging of two adjacent faulty bearings.
  • The method maintained a root mean square error within 0.1 µm at different rotational speeds.

Conclusions:

  • The proposed NSM-SSPA method effectively overcomes resolution limitations of conventional array topologies.
  • This fusion framework of array topology and NSM provides a reliable solution for abnormal source localization.
  • The technique offers improved performance for applications requiring precise source identification.