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Tytuł artykułu

Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Acoustic localization by means of sensor arrays has a variety of applications, from conference telephony to environment monitoring. Many of these tasks are appealing for implementation on embedded systems, however large dataflows and computational complexity of multi-channel signal processing impede the development of such systems. This paper proposes a method of acoustic localization targeted for distributed systems, such as Wireless Sensor Networks (WSN). The method builds on an optimized localization algorithm of Steered Response Power with Phase Transform (SRP-PHAT) and simplifies it further by reducing the initial search region, in which the sound source is contained. The sensor array is partitioned into sub-blocks, which may be implemented as independent nodes of WSN. For the region reduction two approaches are handled. One is based on Direction of Arrival estimation and the other – on multilateration. Both approaches are tested on real signals for speaker localization and industrial machinery monitoring applications. Experiment results indicate the method’s potency in both these tasks.
Twórcy
autor
  • Laboratory for Proactive Technologies, Department of Computer Control, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia
  • Department of Radio and Communication Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia
autor
  • Laboratory for Proactive Technologies, Department of Computer Control, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia
Bibliografia
  • [1] S. Astapov and A. Riid, “A multistage procedure of mobile vehicle acoustic identification for single-sensor embedded device,” International Journal of Electronics and Telecommunications, vol. 59, no. 2, pp. 151-160, 2013.
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  • [4] C. T. Ishi, O. Chatot, H. Ishiguro, and N. Hagita, “Evaluation of a MUSIC-based real-time sound localization of multiple sound sources in real noisy environments,” in Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems IROS 2009, 2009, pp. 2027-2032.
  • [5] H. Hongsen, L. Jing, and G. Yang, “Acoustic direction of arrival estimation based on spatial circular prediction,” in Information Technology and Applications, 2009. IFITA ’09. International Forum on, vol. 3, 2009, pp. 177-180.
  • [6] A. Dhawan, R. Balasubramanian, and V. Vokkarane, “A framework for real-time monitoring of acoustic events using a wireless sensor network,” in Proc. IEEE Int Technologies for Homeland Security (HST) Conf., 2011, pp. 254-261.
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  • [10] S. Astapov, J. S. Preden, T. Aruvali, and B. Gordon, “Production machinery utilization monitoring based on acoustic and vibration signal analysis,” in Proc. 8th Int DAAAM Baltic Industrial Engineering Conf, 2012, pp. 268-273.
  • [11] H. Do, H. F. Silverman, and Y. Yu, “A real-time SRP-PHAT source location implementation using stochastic region contraction (SRC) on a large-aperture microphone array,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing ICASSP 2007, vol. 1, 2007.
  • [12] M. Cobos, A. Marti, and J. J. Lopez, “A modified SRP-PHAT functional for robust real-time sound source localization with scalable spatial sampling,” IEEE Signal Process. Lett., vol. 18, no. 1, pp. 71-74, 2011.
  • [13] X. Zhao, J. Tang, L. Zhou, and Z. Wu, “Accelerated steered response power method for sound source localization via clustering search,” Science China Physics, Mechanics and Astronomy, vol. 56, no. 7, pp. 1329-1338, 2013.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
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