Direction-finding accuracy of an air acoustic vector sensor in correlated noise field

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. T he DoA of an acoustic source is extracted from the acoustic intensity parameter and the acoustic intensity is calculated using an AVS (implementated with omni-directional 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 t he uncorrelated noise field. The experimental environment have been setup using finite element m ethod (FEM) simulation tool f or 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° at 10 dB SNR for the correlated noise field, whereas f or the uncorrelated noise field t he average RMSAE is increased by a factor of more than five.

[1]  C. Eckart The Theory of Noise in Continuous Media , 1953 .

[2]  C. H. Sherman,et al.  Spatial‐Correlation Functions for Various Noise Models , 1962 .

[3]  F. Fahy Measurement of acoustic intensity using the cross‐spectral density of two microphone signals , 1977 .

[4]  Neviano Dal Degan,et al.  Acoustic noise analysis and speech enhancement techniques for mobile radio applications , 1988 .

[5]  J. S. Bird,et al.  Speech enhancement for mobile telephony , 1990 .

[6]  Arye Nehorai,et al.  Acoustic vector-sensor correlations in ambient noise , 2001 .

[7]  E. Habets,et al.  Generating sensor signals in isotropic noise fields. , 2007, The Journal of the Acoustical Society of America.

[8]  E. Habets,et al.  On the angular error of intensity vector based direction of arrival estimation in reverberant sound fields. , 2010, The Journal of the Acoustical Society of America.

[9]  K. Miah,et al.  Design and performance evaluation of a broadband three dimensional acoustic intensity measuring system. , 2010, The Journal of the Acoustical Society of America.

[10]  Patrick A. Naylor,et al.  Eigenbeam-based acoustic source tracking in noisy reverberant environments , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[11]  E. Habets,et al.  Maximum likelihood estimation of direction of arrival using an acoustic vector-sensor. , 2012, The Journal of the Acoustical Society of America.

[12]  P. Dahl,et al.  Using vector sensors to measure the complex acoustic intensity field , 2015 .

[13]  R. Bahl,et al.  Design and analysis of air acoustic vector-sensor configurations for two-dimensional geometry. , 2016, The Journal of the Acoustical Society of America.

[14]  Yixin Yang,et al.  Unidirectional acoustic probe based on the particle velocity gradient. , 2016, The Journal of the Acoustical Society of America.