Acoustic vector sensor: reviews and future perspectives

Acoustic vector sensor (AVS) has been recently researched and developed for acoustic wave capturing and signal processing. Conventional array generally employs spatially displayed sensors for signal enhancement, source localisation, target tracking, etc. However, the large size usually limits its implementations on some portable devices. AVS which generally includes one omni-directional sensor and three orthogonally co-located directional sensors has been recently introduced. An AVS is able to provide the four-dimensional information of sound field in space: the acoustic pressure and its three-dimensional particle velocities. A compact assembled AVS could be as small as a match head and the weight can be <;50 g. Benefits from these properties, AVS tends to be more attractive for exploitation and commercialisation than conventional sensor array. To have a well understanding of the research progress on AVS, an overview on its recent developments is first given in this study. Then, discussions of challenges on AVS and extensions on its possible future prospects are presented.

[1]  Douglas L. Jones,et al.  Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. , 2004, The Journal of the Acoustical Society of America.

[2]  Arye Nehorai,et al.  Acoustic vector-sensor array processing , 1994, IEEE Trans. Signal Process..

[3]  Gary W. Elko,et al.  Microphone array systems for hands-free telecommunication , 1996, Speech Commun..

[4]  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.

[5]  Bruce C. Wheeler,et al.  Localization of nonstationary sources using a coherence test , 2003, IEEE Workshop on Statistical Signal Processing, 2003.

[6]  Danilo P. Mandic,et al.  The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes , 2009, IEEE Transactions on Signal Processing.

[7]  Jacob Benesty,et al.  Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification , 2005, IEEE Signal Processing Letters.

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

[9]  Richard C. Hendriks,et al.  Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Danilo P. Mandic,et al.  A Quaternion Widely Linear Adaptive Filter , 2010, IEEE Transactions on Signal Processing.

[11]  David Malah,et al.  Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..

[12]  J. Tao,et al.  The MVDR Beamformer Based on Hypercomplex Processes , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[13]  S. Q. Wu,et al.  A new robust beamforming method with antennae calibration errors , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[14]  Arye Nehorai,et al.  Acoustic vector-sensor beamforming and Capon direction estimation , 1998, IEEE Trans. Signal Process..

[15]  Song Li,et al.  DOA estimation of moving sound sources in the context of nonuniform spatial noise using acoustic vector sensor , 2015, Multidimens. Syst. Signal Process..

[16]  Nicolas Le Bihan,et al.  Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing , 2004, Signal Process..

[17]  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.

[18]  Patrick M Zurek,et al.  Evaluation of array-processing algorithms for a headband hearing aid. , 2003, The Journal of the Acoustical Society of America.

[19]  Danilo P. Mandic,et al.  On gradient calculation in quaternion adaptive filtering , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[20]  Jin He,et al.  Efficient 2-D DOA estimation for coherent sources with a sparse acoustic vector-sensor array , 2013, Multidimens. Syst. Signal Process..

[21]  Sofiène Affes,et al.  A signal subspace tracking algorithm for microphone array processing of speech , 1997, IEEE Trans. Speech Audio Process..

[22]  Douglas L. Jones,et al.  Beamformer performance with acoustic vector sensors in air. , 2006, The Journal of the Acoustical Society of America.

[23]  Jiangtao Xi,et al.  Speech enhancement with an acoustic vector sensor: an effective adaptive beamforming and post-filtering approach , 2014, EURASIP J. Audio Speech Music. Process..

[24]  Arye Nehorai,et al.  Acoustic vector-sensor processing in the presence of a reflecting boundary , 2000, IEEE Trans. Signal Process..

[25]  A. Benjamin Premkumar,et al.  Particle Filtering Approaches for Multiple Acoustic Source Detection and 2-D Direction of Arrival Estimation Using a Single Acoustic Vector Sensor , 2012, IEEE Transactions on Signal Processing.

[26]  Jacob Benesty,et al.  On the Time-Domain Widely Linear LCMV Filter for Noise Reduction With a Stereo System , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[27]  I. S. Burnett,et al.  Using in-air Acoustic Vector Sensors for tracking moving speakers , 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

[28]  Chiew Tong Lau,et al.  Multi-modality likelihood based particle filtering for 2-D direction of arrival tracking using a single acoustic vector sensor , 2011, 2011 IEEE International Conference on Multimedia and Expo.

[29]  Jean-Marc Jot,et al.  Interactive 3D audio rendering in flexible playback configurations , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

[30]  Emanuel A. P. Habets,et al.  Multi-channel speech dereverberation based on a statistical model of late reverberation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[31]  A. Benjamin Premkumar,et al.  Multiple wideband source detection and tracking using a distributed acoustic vector sensor array: A random finite set approach , 2014, Signal Process..

[32]  Jacob Benesty,et al.  A widely linear model for stereophonic acoustic echo cancellation , 2013, Signal Process..

[33]  Hervé Bourlard,et al.  Microphone array post-filter based on noise field coherence , 2003, IEEE Trans. Speech Audio Process..

[34]  Jiuwen Cao.  Survey on acoustic vector sensor and its applications in signal processing , 2014, Proceedings of the 33rd Chinese Control Conference.

[35]  Ignacio Santamaría,et al.  Properness and Widely Linear Processing of Quaternion Random Vectors , 2010, IEEE Transactions on Information Theory.

[36]  A. S. Madhukumar,et al.  Particle Filtering and Posterior Cramér-Rao Bound for 2-D Direction of Arrival Tracking Using an Acoustic Vector Sensor , 2012, IEEE Sensors Journal.

[37]  Arye Nehorai,et al.  Wideband source localization using a distributed acoustic vector-sensor array , 2003, IEEE Trans. Signal Process..

[38]  Emanuel A. P. Habets,et al.  New Insights Into the MVDR Beamformer in Room Acoustics , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[39]  Jiuwen Cao,et al.  MVDR beamformer analysis of acoustic vector sensor with single directional interference , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

[40]  Kainam Thomas Wong,et al.  Recursive Least-Squares Source Tracking using One Acoustic Vector Sensor , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[41]  Marc Moonen,et al.  On the Use of Time-Domain Widely Linear Filtering for Binaural Speech Enhancement , 2013, IEEE Signal Processing Letters.

[42]  Zhang Xiaofei,et al.  Two-dimensional DOA estimation for acoustic vector-sensor array using a successive MUSIC , 2013, Multidimensional Systems and Signal Processing.

[43]  Sharon Gannot,et al.  On the performance of widely linear quaternion based MVDR beamformer for an acoustic vector sensor , 2014, 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC).

[44]  Huawei Chen,et al.  Coherent signal-subspace processing of acoustic vector sensor array for DOA estimation of wideband sources , 2005, Signal Process..

[45]  Douglas L. Jones,et al.  Beamforming with collocated microphone arrays , 2003 .

[46]  Julie E. Greenberg,et al.  Modified LMS algorithms for speech processing with an adaptive noise canceller , 1998, IEEE Trans. Speech Audio Process..

[47]  M J Link,et al.  Prewhitening for intelligibility gain in hearing aid arrays. , 1993, The Journal of the Acoustical Society of America.

[48]  Danilo P. Mandic,et al.  A Quaternion Gradient Operator and Its Applications , 2011, IEEE Signal Processing Letters.

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

[50]  Rainer Martin,et al.  Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..