Direction-finding Accuracy of an Air Acoustic Vector Sensor in Correlated Noise Field

被引:0
|
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
来源
PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17) | 2017年
关键词
Acoustic Intensity; Acoustic Vector-Sensor; Ambient Noise; Correlated noise; Direction of Arrival (DoA); Pressure Gradient; Particle Velocity; SPEECH ENHANCEMENT; SIGNALS; DESIGN;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The direction-of-arrival (DoA) of an acoustic source has been estimated using an air acoustic vector sensor (AVS) in the presence of spatially correlated noise field. The DoA of an acoustic source is extracted from the acoustic intensity parameter and the acoustic intensity is calculated using an AVS (implementated with omnidirectional microphones), where acoustic intensity is derived using pressure signal differences. In practice, the noise field measured at the sensors of an AVS will be correlated due to the spatial closeness of the microphones that is necessary to derive the acoustic intensity from the finite difference (FD) approximated pressure-gradient. The FD approximated pressure-gradient based acoustic intensity gives better estimate of DoA in correlated noise field than the uncorrelated noise field. T he experimental environment h ave been setup using finite element method ( FEM) simulation tool for generating source signal and received signals at the AVS. It has been observed for delta configuration A VS, t hat t he average root mean square angular error (RMSAE) is less than 0.4 degrees at 10 dB SNR for the correlated noise field, whereas for the uncorrelated noise field the average RMSAE is increased by a factor of more than five.
引用
收藏
页码:21 / 25
页数:5
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