A Partition Spatial Filtering Method for Acoustic Array Configuration

Acoustic array is a ubiquitous tool for locating and quantifying sound sources. However, its effectiveness depends greatly on the array configuration. This paper presents an array configuration method to enhance array performance, especially on the spatial resolution and the Doppler effect correctio...

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Main Authors: Zhihong Liu, Xilong Zhang, Zunmin Liu, Chuijie Yi, Ming Ma
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2021/6682923
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author Zhihong Liu
Xilong Zhang
Zunmin Liu
Chuijie Yi
Ming Ma
author_facet Zhihong Liu
Xilong Zhang
Zunmin Liu
Chuijie Yi
Ming Ma
author_sort Zhihong Liu
collection DOAJ
description Acoustic array is a ubiquitous tool for locating and quantifying sound sources. However, its effectiveness depends greatly on the array configuration. This paper presents an array configuration method to enhance array performance, especially on the spatial resolution and the Doppler effect correction. The problem of array configuration is formulated into a position matrix determined by introducing partition spatial filtering. Irregular coaxial ring grid spacings and partition filtering conditions are suggested to control array spatial resolution. Geometrical parameters and performance indicators are constructed to quantify the relationships between the array configuration and performance. Based on these quantitative relations, the spatial variation of the array beam pattern and the Doppler effect has got adaptive adjustment. In particular, an adaptive partition algorithm is proposed to reduce computation time. The performance of the method is examined numerically and experimentally, which is compared with the other methods. The results provide the method to guide the design of a 64-microphone optimized array with high performance (1.8° spatial angle resolution and 40% Doppler frequency correction over the bandwidth from 800 Hz to 3000 Hz) and fast computing speed (18 s array generated time for 2000 arrays). Furthermore, an unusual feature of the method is that it can be utilized in the case when the source moves at a nonconstant velocity.
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language English
publishDate 2021-01-01
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series Shock and Vibration
spelling doaj-art-e6d110c81c8b4320aed2819238c8e3f22025-02-03T05:52:37ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66829236682923A Partition Spatial Filtering Method for Acoustic Array ConfigurationZhihong Liu0Xilong Zhang1Zunmin Liu2Chuijie Yi3Ming Ma4School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, ChinaKey Laboratory of Ministry of Education of China, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, ChinaAcoustic array is a ubiquitous tool for locating and quantifying sound sources. However, its effectiveness depends greatly on the array configuration. This paper presents an array configuration method to enhance array performance, especially on the spatial resolution and the Doppler effect correction. The problem of array configuration is formulated into a position matrix determined by introducing partition spatial filtering. Irregular coaxial ring grid spacings and partition filtering conditions are suggested to control array spatial resolution. Geometrical parameters and performance indicators are constructed to quantify the relationships between the array configuration and performance. Based on these quantitative relations, the spatial variation of the array beam pattern and the Doppler effect has got adaptive adjustment. In particular, an adaptive partition algorithm is proposed to reduce computation time. The performance of the method is examined numerically and experimentally, which is compared with the other methods. The results provide the method to guide the design of a 64-microphone optimized array with high performance (1.8° spatial angle resolution and 40% Doppler frequency correction over the bandwidth from 800 Hz to 3000 Hz) and fast computing speed (18 s array generated time for 2000 arrays). Furthermore, an unusual feature of the method is that it can be utilized in the case when the source moves at a nonconstant velocity.http://dx.doi.org/10.1155/2021/6682923
spellingShingle Zhihong Liu
Xilong Zhang
Zunmin Liu
Chuijie Yi
Ming Ma
A Partition Spatial Filtering Method for Acoustic Array Configuration
Shock and Vibration
title A Partition Spatial Filtering Method for Acoustic Array Configuration
title_full A Partition Spatial Filtering Method for Acoustic Array Configuration
title_fullStr A Partition Spatial Filtering Method for Acoustic Array Configuration
title_full_unstemmed A Partition Spatial Filtering Method for Acoustic Array Configuration
title_short A Partition Spatial Filtering Method for Acoustic Array Configuration
title_sort partition spatial filtering method for acoustic array configuration
url http://dx.doi.org/10.1155/2021/6682923
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AT mingma apartitionspatialfilteringmethodforacousticarrayconfiguration
AT zhihongliu partitionspatialfilteringmethodforacousticarrayconfiguration
AT xilongzhang partitionspatialfilteringmethodforacousticarrayconfiguration
AT zunminliu partitionspatialfilteringmethodforacousticarrayconfiguration
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