Localizing multiple audio sources in a wireless acoustic sensor network

In this work, we propose a grid-based method to estimate the location of multiple sources in a wireless acoustic sensor network, where each sensor node contains a microphone array and only transmits direction-of-arrival (DOA) estimates in each time interval, reducing the transmissions to the central processing node. We present new work on modeling the DOA estimation error in such a scenario. Through extensive, realistic simulations, we show that our method outperforms other state-of-the-art methods, in both accuracy and complexity. We also present localization results of real recordings in an outdoor cell of a sensor network. HighlightsWe examine localization in a WASN where each node transmits DOA estimates.We perform DOA estimation error modeling and examine the merging of nearby sources.We present a real-time low-complexity method for localization of multiple sources.Results indicate the advantages of our method in accuracy/computational complexity.We present localization results of real recordings in an outdoor cell of a sensor network.

[1]  R. G. Stansfield,et al.  Statistical theory of d.f. fixing , 1947 .

[2]  David R. Wilson,et al.  Field test of an affordable, portable, wireless microphone array for spatial monitoring of animal ecology and behaviour , 2012 .

[3]  P.N. Pathirana,et al.  Bearing-Only Localization using Geometrically Constrained Optimization , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Malcolm J. Crocker,et al.  Handbook of Acoustics , 1998 .

[5]  Peter Molnar,et al.  Bearings-only target localization for an acoustical unattended ground sensor network , 2001, SPIE Defense + Commercial Sensing.

[6]  Eric A. Lehmann,et al.  Diffuse Reverberation Model for Efficient Image-Source Simulation of Room Impulse Responses , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[7]  Pubudu N. Pathirana,et al.  A discussion on passive location discovery in emitter networks using angle-only measurements , 2006, IWCMC '06.

[8]  Xiao-Ping Zhang,et al.  A Novel Location-Penalized Maximum Likelihood Estimator for Bearing-Only Target Localization , 2012, IEEE Transactions on Signal Processing.

[9]  Alexander Bertrand,et al.  Applications and trends in wireless acoustic sensor networks: A signal processing perspective , 2011, 2011 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

[10]  Lance M. Kaplan,et al.  On exploiting propagation delays for passive target localization using bearings-only measurements , 2005, J. Frankl. Inst..

[11]  Ákos Lédeczi,et al.  Acoustic Source Localization Fusing Sparse Direction of Arrival Estimates , 2006, 2006 International Workshop on Intelligent Solutions in Embedded Systems.

[12]  Federico Domínguez,et al.  SoundCompass: A Distributed MEMS Microphone Array-Based Sensor for Sound Source Localization , 2014, Sensors.

[13]  R. E. Hudson,et al.  Acoustic sensor networks for woodpecker localization , 2005, SPIE Optics + Photonics.

[14]  Y. Bar-Shalom,et al.  A generalized S-D assignment algorithm for multisensor-multitarget state estimation , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[15]  H.W.L. Naus,et al.  Simultaneous localisation of multiple emitters , 2004 .

[16]  Kutluyil Dogançay,et al.  Bearings-only target localization using total least squares , 2005, Signal Process..

[17]  Alfonso Farina,et al.  Target tracking with bearings - Only measurements , 1999, Signal Process..

[18]  Harvey F. Silverman,et al.  A Fast Microphone Array SRP-PHAT Source Location Implementation using Coarse-To-Fine Region Contraction(CFRC) , 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

[19]  Pubudu N. Pathirana,et al.  Localization of Emitters via the Intersection of Bearing Lines: A Ghost Elimination Approach , 2007, IEEE Transactions on Vehicular Technology.

[20]  Athanasios Mouchtaris,et al.  Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[21]  Péter Molnár,et al.  Maximum likelihood methods for bearings-only target localization , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[22]  Athanasios Mouchtaris,et al.  Localizing multiple audio sources from DOA estimates in a wireless acoustic sensor network , 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

[23]  Jean Rouat,et al.  Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering , 2007, Robotics Auton. Syst..

[24]  Y. Bar-Shalom,et al.  A new relaxation algorithm and passive sensor data association , 1992 .

[25]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[26]  A. Weiss,et al.  Performance analysis of bearing-only target location algorithms , 1992 .

[27]  J.D. Reed,et al.  Multiple-source localization using line-of-bearing measurements: Approaches to the data association problem , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[28]  Athanasios Mouchtaris,et al.  Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array , 2013, IEEE Transactions on Audio, Speech, and Language Processing.