IJPTT

Real Time Acoustic Sensor Elephant Direction of Arrival Estimation

	International Journal of Computer & Organization Trends  (IJCOT)
	© 2013 by IJCOT Journal
	Volume-3 Issue-1
	Year of Publication : 2013
	Authors :   Mayilvaganan.M , M.Devaki

Citation

Mayilvaganan.M , M.Devaki : "Real Time Acoustic Sensor Elephant Direction of Arrival Estimation" . International Journal of Computer & organization Trends  (IJCOT), V3(1):46-48 Jan - Feb 2013, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract

In this paper, we implement real time specific target acoustic fingerprint for estimating Direction of Arrival (DOA) and Error Analysis at two different atmospheric conditions. The proposed DOA estimation method comprises of partial hyperbolic circular array for specific target generated random signal generation. The proposed sensor network consists of four nodes arranged in a circular array and all the n odes are Omni directional in nature. We test out proposed system for about circular ly covered around 3 Kms with two different forests for specific target (elephants) situated in India. DOA estimation is obtained by pre processing the random signal generat ed at forest using hyperbolic circular differentiation. In addition to DOA estimation, we are estimating the error analysis factors affecting outdoor propagation of sound in forests with different constraints

References

[1]J . Haitsma and T. Kalker, “A Highly Robust Audio Fingerprinting System,” in Proceedings of the International Symposium on Music I nformation Retrieval, Paris, France, 2002. . (2004). pp 1 - 2
[2] Cano, P., E. Batlle, T. Kalker, and J. Haitsma. 2005. A review of audio fingerprinting. The Journal of VLSI Signal Processing pp.2 - 3
[3] Haitsma, J., T. Kalker, and J. Oostveen. 2001. Robust audio hashing for content identification. Proc. Of the Content - Based Multimedia Indexing pp 3 - 4 .
[4] S.Poornachandra, B.Sasikala Digital Signal ProcessingDigital Signal Processing, copyright 2006, Vijay Nicole imprints Private Limited. ISBN: 81 - 8209 - . pp 4 - 5.
[5] M. Brandstein and D. Ward, Eds., Microphone Arrays: Signal Processing Techniques and Applications , Springer, 2001. Pp 4 - 6
[6] B.Somanathan Nair., Digital Signal Processing Theory, Analysis and digital Filter Design(textbook) prentice hall of india pr ivate limited. pp4 - 6
[7].D.B.Ward and R.C.Williamson,“Particle filter b eamforming for acoustic source localization in a reverberant environment,” in Proc. IEEE ICASSP , Orlando, FL, USA, May 2002. 1.
[8] J. Haitsma, T. Kalker, and J. Oostveen. An effici ent database search strategy for audio fingerprinting. In IEEE workshop on Multimedia Signal Processing, St. Thomas, USVI, 2002.
[9].M. Stevenson, V. Stanford, 3 and C. Rochet3 An Automated Acoustic SystemtoMonitor and Classify Birds Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006, Article ID 96706, Pages 1 – 19
[10] T. Gustafsson, B. Rao, and M. Trived “Source localization in rever - berant environments: performance bounds and m estimation,” i n Proc.of ICASSP, 2001
[11]. Y. S. Huang, Y. P. Huang, K. N. Huang, and M. S. Young “An accurate air temperature measurement system based on an envelope pulsed ultrasonic time - of - flight technique”, Rev. Sci. Instrum. 78, 115102, 2007.
[12] . S. M. Kay, Fundamentals of Statistical Signal Processing:Estimation Theory. Englewood Cliffs, NJ: Prentice - Hall, vol. I, 1993.
[13] . N. Patwari, A. O. Hero , M. Perkins, N. S. C orreal, “Relative Location Estimation in Wireless Sensor Networks”, IEEE transactions on signal processing, vol. 51, No. 8, Aug 2003.
[14].K. Delin, S. Jackson, D. Johnson, S. Burleigh, R.Woodrow, J. McAuley, J. Dohm, F. Ip, T. Ferre, D. Rucker, and V. Bak er, “Environmental studies with the sensor web: Principles and practice,” Sensors 5, pp. 103 – 117, 2005.
[15]. D. Culler, D. Estrin, and M. Srivastava, “Overview of sensor networks,” IEEE Computer 37, pp. 41 – 49, Aug. 2004

Keywords

acoustic fingerprint, sensor netwo rk, Omni directional, error analysis, random signal