Efficient sensor network vehicle classification using peak harmonics of acoustic emissions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6963, Issue , 2008, Pages

  William, Peter E ^a   Hoffman, Michael W ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Acoustic emission; Battlefield vehicle detection; Decision fusion; Wireless sensor networks

Indexed keywords

ACOUSTIC EMISSIONS; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; HARMONIC ANALYSIS;

BATTLEFIELD VEHICLE DETECTION; DECISION FUSION;

WIRELESS SENSOR NETWORKS;

EID: 44349086857     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.777073     Document Type: Conference Paper

References (23)

1. Srour, N. and Robertson, J., "Remote netted acoustic detection system: Final report", Army Research Laboratory, ARL-TR-706 (1995).
2. Wu, H. and Mendel, J. M., "Multicategory classification of ground vehicles based on their acoustic emis-sions", Proc. of SPIE in Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Appli-cations VI 5417, 31-42 (2004).
3. Duarte, M. and Hu, Y. H., "Vehicle classification in distributed sensor networks", Journal of Parallel and Distributed Computing 64(7), 826-838 (2004).
4. Sheng, X. and Hu, Y. H., "Maximum likelihood multiple-source localization using acoustic energy mea-surements with wireless sensor networks", IEEE Tran, in Signal Processing 53(1), 44-53 (2005).
5. Giridhar, A. and Kumar, P. R., "Toward a theory of In-Network computation in wireless sensor networks", IEEE Communications Magazine 4, 98-107 (2006).
6. Li, D., Wang, K., Hu, Y. H. and Sayeed, A. M., "Detection, classification, and tracking of targets", IEEE Signal Processing Magazine 19(2), 17-29 (2002).
7. Pottie, G. J. and Kaiser, W. J., "Wireless integrated network sensors", Communications of the ACM 43(5), 551-558 (2000).
8. Robertson, J. A. and Weber, B. "Artificial neural networks for acoustic target recognition", Joint report between ARL and ITT Research (1993).
9. Lake, D., "Efficient maximum likelihood estimation for multiple and coupled harmonics", Army Research Laboratory, ARL-TR-2014 (1999).
10. Lake, D., "Harmonic phase coupling for battlefield acoustic target identification", Int. Conf. in Acoustics, Speech, and Signal Processing (ICASSP 98) 4, 2049-52 (1998).
11. Lake, D., "Tracking fundamental frequency for synchronous mechanical diagnostic signal processing", Ninth IEEE SP Workshop on Statistical Signal and Array Processing, 200-203 (1998).
12. Whipps, G. and Moses, R., "A combined order selection and parameter estimation algorithm for coupled harmonics", Military Sensing Symposium (MSS) Specialty Group on Battlefield Acoustic and Seismic Sensing, Magnetic and Electric Field Sensors, Laurel, MD, (2003).
13. Yang, S. S., Kim, Y. G. and Choi, H., "Vehicle identification using wireless sensor networks", IEEE SoutheastCon, 41-46 (2007).
14. Damarla, T. R., Pham T. and Lake, D., "An algorithm for classifying multiple targets using acoustic signature", Proc. of SPIE 5429, 421-427 (2004).
15. Welhnan, M. C., Srour, N. and Hillis, D. B., "Acoustic feature extraction for a neural network classifier", Army Research Laboratory, ARL-TR-1166 (1997).
16. Filipov, A. and Srour, N., "Distributed and disposable sensors at ARL and ASCTA", IEEE Aerospace Conf., 2065-71 (2004).
17. http://www.ece.wisc.edu/ sensit/.
18. Sayood, K., [Introduction to data compression], CA: M.K. Academic Press, San Francisco (2000)
19. Li, D. and Hu, Y. H., "Energy-based collaborative source localization using acoustic micro sensor array", EURASIP Journal on Applied Signal Processing 4, 321-327 (2003).
20. Haykin, S. [Neural networks, A comprehensive foundation], Prentice Hall, Upper Sadie River, NJ (1999).
21. Kerlizrin P. and Vallet F., "Robustness in multilayer perceptrons", Neural Computations 5, 473-482 (1993).
22. http://www.mathworks.com/products/neuralnet.
23. Wu H. and Mendel, J. M. "Classification of battlefield ground vehicles using acoustic features and fuzzy logic rule-based classifiers", IEEE Trans. on Fuzzy Systems 15(1), 56-72 (2007).