Abstract
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic energy decay model that acoustic energy decays inverse of distance square under the conditions that the sound propagates in the free and homogenous space and the targets are pre-detected to be in a certain region of the sensor field. This new approach is power efficient and needs low communication bandwidth and therefore, is suitable for the source localization in the distributed sensor network system. Maximum Likelihood (ML) estimation with Expectation Maximization (EM) solution and projection solution are proposed to solve this energy based source location (EBL) problem. Cramer-Rao Bound (CRB) is derived and used for the sensor deployment analysis. Experiments and simulations are conducted to evaluate ML algorithm with different solutions and to compare it with the Nonlinear Least Square (NLS) algorithm using energy ratio function that we proposed previously. Results show that energy based acoustic source localization algorithms are accurate and robust.
This project is supported by DARPA under grant no. F 30602-00-2-0555
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Li, D. Wong, K.D., Hu, Y. H., Sayeed, A. M.: Detection, classification, and tracking of targets. IEEE Signal Processing Magazine, 19, (2002), 17–29
Haykin, S.: Array Signal Processing, Englewood-Cliffs, NJ: Prentice-Hall, (1985)
Taff, L. G.: Target localization from bearings-only observations, IEEE Trans. Aerosp. Electron., 3, issue 1, (1997) 2–10
Oshman, Y., and Davidson, P.: Optimization of observer trajectories for bearings-only target localization, IEEE Trans. Aerosp. Electron., 35, issue 3, (1999), 892–902
Kaplan, K. M., Le, Q., and Molnar, P.: Maximum likelihood methods for bearings-only target localization, Proc IEEE ICASSP, 5, (2001), 3001–3004
Carter G. C.: Coherence and Time Delay Estimation, IEEE Press, 1993.
Brandstein, M., and Silverman, H.: A localization-error-based method for microphone-array design, Proc. ICASSP’96, Atlanta, GA, (1996), 901–904
Brandstein, M. S., Adcock, J. E., and Silverman, H. F.: A closed form location estimator for use with room environment microphone arrays, IEEE Trans. Speech and Audio Processing, vol. 5 (1997), 45–50
Yao, K., Hudson, R. E., Reed, C. W., Chen, D., and Lorenzelli, F.: Blind beam-forming on a randomly distributed sensor array system, IEEE J. Selected areas in communications, 16 (1998) 1555–1567
Reed, C.W., Hudson, R., and Yao, K.: Direct joint source localization and propagation speed estimation. In Proc. ICASSP’99, Phoenix, AZ, (1999) 1169–1172
Special issue on time-delay estimation, IEEE Trans. ASSP 29, (1981)
Smith, J.O., and Abel, J.S.: Closed form least square source location estimation from range difference measurements. IEEE Trans. ASSP 35 (1987) 1661–1669
Hu, Y.H., and Li, D.: Energy based source localization, IEEE Trans. ASSP, submitted, 2002
Kinsler, L.E., et al.: Fundamentals of Acoustics. NY, NY: John Wiley and Sons, Inc., 1982
Rabiner, L. R.: A Tutorial on Hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol. 772, (1989) 257–287
Bishop, L.M.: Neural Network for Pattern Recognition, Oxford University press, 1995, Chapter 2.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sheng, X., Hu, YH. (2003). Energy Based Acoustic Source Localization. In: Zhao, F., Guibas, L. (eds) Information Processing in Sensor Networks. IPSN 2003. Lecture Notes in Computer Science, vol 2634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36978-3_19
Download citation
DOI: https://doi.org/10.1007/3-540-36978-3_19
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-02111-7
Online ISBN: 978-3-540-36978-3
eBook Packages: Springer Book Archive