Next Article in Journal
A Study of Pattern Prediction in the Monitoring Data of Earthen Ruins with the Internet of Things
Previous Article in Journal
An Interference Mitigation Scheme of Device-to-Device Communications for Sensor Networks Underlying LTE-A
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(5), 1087; doi:10.3390/s17051087

Sound Source Localization Using Non-Conformal Surface Sound Field Transformation Based on Spherical Harmonic Wave Decomposition

1,2
,
3
,
1,2
,
1,2
and
1,2,*
1
Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China
2
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
3
Guizhou Aerospace Institute of Measuring and Testing Technology, Guiyang 550009, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 24 March 2017 / Revised: 4 May 2017 / Accepted: 5 May 2017 / Published: 10 May 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [5694 KB, uploaded 10 May 2017]   |  

Abstract

Spherical microphone arrays have been paid increasing attention for their ability to locate a sound source with arbitrary incident angle in three-dimensional space. Low-frequency sound sources are usually located by using spherical near-field acoustic holography. The reconstruction surface and holography surface are conformal surfaces in the conventional sound field transformation based on generalized Fourier transform. When the sound source is on the cylindrical surface, it is difficult to locate by using spherical surface conformal transform. The non-conformal sound field transformation by making a transfer matrix based on spherical harmonic wave decomposition is proposed in this paper, which can achieve the transformation of a spherical surface into a cylindrical surface by using spherical array data. The theoretical expressions of the proposed method are deduced, and the performance of the method is simulated. Moreover, the experiment of sound source localization by using a spherical array with randomly and uniformly distributed elements is carried out. Results show that the non-conformal surface sound field transformation from a spherical surface to a cylindrical surface is realized by using the proposed method. The localization deviation is around 0.01 m, and the resolution is around 0.3 m. The application of the spherical array is extended, and the localization ability of the spherical array is improved. View Full-Text
Keywords: spherical harmonic wave decomposition; non-conformal sound field surface transformation; reconstruction of sound field; sound source localization spherical harmonic wave decomposition; non-conformal sound field surface transformation; reconstruction of sound field; sound source localization
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, L.; Ding, D.; Yang, D.; Wang, J.; Shi, J. Sound Source Localization Using Non-Conformal Surface Sound Field Transformation Based on Spherical Harmonic Wave Decomposition. Sensors 2017, 17, 1087.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top