Design and analysis of air acoustic vector-sensor configurations for two-dimensional geometry

被引:12
作者
Wajid, Mohd [1 ]
Kumar, Arun [1 ]
Bahl, Rajendar [1 ]
机构
[1] Indian Inst Technol Delhi, Ctr Appl Res Elect, New Delhi 110016, India
关键词
SOUND SOURCE IDENTIFICATION; OF-ARRIVAL ESTIMATION; CROSS-SPECTRAL METHOD; INTENSITY; PHASE; ARRAY; PERFORMANCE; EMITTER; ERRORS;
D O I
10.1121/1.4948566
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Acoustic vector-sensors (AVS) have been designed using the P-P method for different microphone configurations. These configurations have been used to project the acoustic intensity on the orthogonal axes through which the direction of arrival (DoA) of a sound source has been estimated. The analytical expressions for the DoA for different microphone configurations have been derived for two-dimensional geometry. Finite element method simulation using COMSOL-Multiphysics has been performed, where the microphone signals for AVS configurations have been recorded in free field conditions. The performance of all the configurations has been evaluated with respect to angular error and root-mean-square angular error. The simulation results obtained with ideal geometry for different configurations have been corroborated experimentally with prototype AVS realizations and also compared with microphone-array method, viz., Multiple Signal Classification and Generalized Cross Correlation. Experiments have been performed in an anechoic room using different prototype AVS configurations made from small size microphones. The DoA performance using analytical expressions, simulation studies, and experiments with prototype AVS in anechoic chamber are presented in the paper. The square and delta configurations are found to perform better in the absence and presence of noise, respectively. (C) 2016 Acoustical Society of America.
引用
收藏
页码:2815 / 2832
页数:18
相关论文
共 41 条
[1]   Particle velocity estimation based on a two-microphone array and Kalman filter [J].
Bai, Mingsian R. ;
Juan, Shen-Wei ;
Chen, Ching-Cheng .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2013, 133 (03) :1425-1432
[2]  
CHUNG JY, 1978, J ACOUST SOC AM, V64, P1613, DOI 10.1121/1.382145
[3]  
Craven P. G., 1977, US Patent, Patent No. [4,042,779, 4042779]
[4]  
de Bree H.-E., 2003, Acoustics Australia, V31, P91
[5]   Multichannel Signal Enhancement Algorithms for Assisted Listening Devices [J].
Doclo, Simon ;
Kellermann, Walter ;
Makino, Shoji ;
Nordholm, Sven .
IEEE SIGNAL PROCESSING MAGAZINE, 2015, 32 (02) :18-30
[6]   MEASUREMENT OF ACOUSTIC INTENSITY USING CROSS-SPECTRAL DENSITY OF 2 MICROPHONE SIGNALS [J].
FAHY, FJ .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1977, 62 (04) :1057-1059
[7]  
Fernaandez Comesana D., 2011, INT C SOUND VIBR ICS
[8]   INTENSITY VECTOR DIRECTION EXPLOITATION FOR EXHAUSTIVE BLIND SOURCE SEPARATION OF CONVOLUTIVE MIXTURES [J].
Guenel, Banu ;
Hacihabiboglu, Hueseyin ;
Kondoz, Ahmet M. .
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, :41-+
[9]   Acoustic vector-sensor correlations in ambient noise [J].
Hawkes, M ;
Nehorai, A .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2001, 26 (03) :337-347
[10]   Acoustic particle velocity measurements: a cross comparison between modern sensor technologies [J].
Henning, Arne ;
Kroeber, Stefan ;
Koop, Lars .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (08)