Coherent signals direction-of-arrival estimation using a spherical microphone array: Frequency smoothing approach

Direction-of-arrival (DOA) estimation of coherent signals is considered of great importance in signal processing. To estimate both azimuth and elevation angle with the same accuracy, 3-dimensional (3-D) array must be used. Spherical arrays have the advantage of spherical symmetry, facilitating 3-D DOA estimation. To apply high resolution subspace DOA estimation algorithms, such as MUSIC, in a coherent environment, a smoothing technique is required. This paper presents the development of a smoothing technique in the frequency domain for spherical microphone arrays. We show that frequency smoothing can be efficiently performed using spherical arrays due to the decoupling of frequency and angular components. Experimental comparison of DOA estimation between beamforming and MUSIC with frequency smoothing is performed with data measured in a real auditorium.

[1]  Raffaele Parisi,et al.  WAVES: weighted average of signal subspaces for robust wideband direction finding , 2001, IEEE Trans. Signal Process..

[2]  B. Rafaely Plane-wave decomposition of the sound field on a sphere by spherical convolution , 2004 .

[3]  Boaz Rafaely,et al.  Open-Sphere Designs for Spherical Microphone Arrays , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  E. Williams,et al.  Fourier Acoustics: Sound Radiation and Nearfield Acoustical Holography , 1999 .

[5]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[6]  Boaz Rafaely,et al.  High‐order wave decomposition using a dual‐radius spherical microphone array , 2006 .

[7]  Boaz Rafaely,et al.  High-resolution plane-wave decomposition in an auditorium using a dual-radius scanning spherical microphone array. , 2007, The Journal of the Acoustical Society of America.

[8]  Hong Wang,et al.  Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources , 1985, IEEE Trans. Acoust. Speech Signal Process..

[9]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[10]  J. X. Zhu,et al.  High-resolution direction finding in the presence of multipath: A frequency-domain smoothing approach , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[11]  Boaz Rafaely,et al.  Analysis and design of spherical microphone arrays , 2005, IEEE Transactions on Speech and Audio Processing.

[12]  Walter Kellermann,et al.  Detection and localization of multiple wideband acoustic sources based on wavefield decomposition using spherical apertures , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.