Array optimization of sparse regularization equivalent source acoustic holography algorithm

In order to improve the accuracy of the sparse regularization equivalent source acoustic holography algorithm, based on the analysis of the holographic algorithm theory, an optimized array arrangement is proposed. The sensing matrix constructed by the array parameters directly affects the accuracy o...

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Veröffentlicht in:Journal of Vibroengineering Jg. 23; H. 5; S. 1244 - 1253
Hauptverfasser: Xia, Jing, Chen, Hantao, Guo, Wenyong, Han, Jianggui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: JVE International Ltd 01.08.2021
Schlagworte:
Acoustic properties
Algorithms
Comparative analysis
Holography
Measuring instruments
Monte Carlo method
Sensors
China
ISSN:1392-8716, 2538-8460
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Zusammenfassung:In order to improve the accuracy of the sparse regularization equivalent source acoustic holography algorithm, based on the analysis of the holographic algorithm theory, an optimized array arrangement is proposed. The sensing matrix constructed by the array parameters directly affects the accuracy of the acoustic imaging algorithm. By analyzing the influence of the sensing matrix on the imaging algorithm, the Restricted Isometry Constant (RIC) is chosen to evaluate the sensing matrix. Using genetic algorithm (GA), the RIC is taken as the fitness value, and the optimal pseudo-random array is selected and compared with the conventional array arrangement for acoustic imaging. Experiments show that the optimized pseudo-random array has better imaging effect under the same number of sensor measurements, and provides an optimization method for the design of acoustic array.
ISSN:1392-8716
2538-8460
DOI:10.21595/jve.2021.21659