Classification of military ground vehicles using time domain harmonics'amplitudes

IEEE Transactions on Instrumentation and Measurement

Volumn 60, Issue 11, 2011, Pages 3720-3731

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

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Acoustic emission; decision fusion; harmonic signals; time domain features; vehicle classification

Indexed keywords

ACOUSTIC DATA; ACOUSTIC SIGNALS; ACOUSTIC SIGNATURE; DECISION FUSION; ENERGY EFFICIENT; FALSE ALARM RATE; HARMONIC SIGNALS; LOW POWER; MILITARY GROUNDS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; PEACE-KEEPING OPERATIONS; SPECTRAL FEATURE; TIME DOMAIN; TIME-DOMAIN METHODS; UNITED NATIONS; VEHICLE CLASSIFICATION; WIRELESS SENSOR; WIRELESS SENSOR NODE;

ACOUSTIC WAVES; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; ELECTRIC NETWORK SYNTHESIS; ENERGY EFFICIENCY; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; HARMONIC ANALYSIS; SENSOR NODES; SIGNAL DETECTION; TANKS (MILITARY); TELECOMMUNICATION EQUIPMENT; TRANSPORTATION; UNATTENDED SENSORS; VEHICLES;

TIME DOMAIN ANALYSIS;

EID: 80054063357     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2135110     Document Type: Article

References (29)

1. UN Department of Peacekeeping Operations, United Nations Peacekeeping Operations: Principles and Guidelines, Dept. Peacekeeping Oper., United Nations Secretariat, One UN Plaza, New York, Jan. 2008.
2. W. Dorn, Tools of the Trade? Monitoring and Surveillance Technologies for UN Peacekeeping. New York: Peacekeeping Best Practices Unit, Dept. Peacekeeping Oper. (DPKO), United Nations, 2007.
3. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless sensor networks: A survey," Comput. Netw., vol. 38, no. 4, pp. 393-422, Mar. 2002.
4. F. Pianegiani, M. Hu, A. Boni, and D. Petri, "Energy-efficient signal classification in Ad hoc wireless sensor networks," IEEE Trans. Instrum. Meas., vol. 57, no. 1, pp. 190-196, Jan. 2008.
5. [Online]. Available: http://www.xbow.com/Products
6. J. Altmann, S. Linev, and A. Weisz, "Acoustic-seismic detection and classification of military vehicles-Developing tools for disarmament and peace-keeping," Appl. Acoust., vol. 63, no. 10, pp. 1085-1107, Oct. 2002.
7. J. Altmann, "Acoustic and seismic signals of heavy military vehicles for co-operative verification," J. Sound Vib., vol. 273, no. 4/5, pp. 713-740, Jun. 2004.
8. M. Duarte and Y.-H. Hu, "Vehicle classification in distributed sensor networks," J. Parallel Distrib. Comput., vol. 64, no. 7, pp. 826-838, Jul. 2004.
9. D. Li, K. Wang, Y.-H. Hu, and A. M. Sayeed, "Detection, classification, and tracking of targets," IEEE Signal Process. Mag., vol. 19, no. 2, pp. 17-29, Mar. 2002.
10. M. C.Wellman, N. Srour, and D. B. Hillis, "Acoustic feature extraction for a neural network classifier," Army Res. Lab., Adelphi, MD, Tech. Rep., ARL-TR-1166, Jan. 1997.
11. D. Lake, "Efficient maximum likelihood estimation for multiple and coupled harmonics," Army Res. Lab., Adelphi, MD, Tech. Rep., ARLTR-2014, Dec. 1999.
12. D. Lake, "Harmonic phase coupling for battlefield acoustic target identification," in Proc. IEEE ICASSP, May 1998, vol. 4, pp. 2049-2052.
13. M. E. Hohil, J. Heberley, J. Chang, and A. Rotolo, "Vehicle counting and classification algorithms for unattended ground sensors," in Proc. SPIE-Unattended Ground Sensor Technologies and Applications V, Apr. 2003, vol. 5090, pp. 99-110.
14. D. Lake, "Tracking fundamental frequency for synchronous mechanical diagnostic signal processing," in Proc. IEEE 9th Signal Process. Workshop Stat. Signal Array Process., Sep. 1998, pp. 200-203.
15. A. Filipov and N. Srour, "Distributed and disposable sensors at ARL and ASCTA," in Proc. IEEE Aerosp. Conf., 2004, pp. 2065-2071.
16. N. Srour and J. Robertson, "Remote netted acoustic detection system: Final report," Army Res. Lab., Adelphi, MD, Tech. Rep., ARL-TR-706, May 1995.
17. L. Gu, D. Jia, P. Vicaire, T. Yan, L. Luo, A. Tirumala, Q. Cao, T. He, J. A. Stankovic, T. F. Abdelzaher, and B. H. Krogh, "Lightweight detection and classification for wireless sensor networks in realistic environments," in Proc. 3rd ACM Conf. Embedded Netw. Sens. Syst. (SenSys), Nov. 2005, pp. 205-217.
18. P. E. William and M. W. Hoffman, "Efficient sensor network vehicle classification using peak harmonics of acoustic emissions," in Proc. SPIE-Unattended Ground, Sea, and Air Sensor Technologies and Applications X, Mar. 2008, vol. 6963, pp. 1-12.
19. P. E. William and M. W. Hoffman, "Identification of battlefield vehicles using the zero crossings and the strongest harmonic component of the time domain acoustic signal," in Proc. MSS, Battlespace Acoust. Magn. Sens., Aug. 2008.
20. N. Furstenau, H. Horack, and W. Schmidt, "Extrinsic Fabry-Perot interferometer fiber-optic microphone," IEEE Trans. Instrum. Meas., vol. 47, no. 1, pp. 138-142, Feb. 1998.
21. K. Choi, S. Singh, A. Kodali, K. R. Pattipati, J. W. Sheppard, S. M. Namburu, S. Chigusa, D. V. Prokhorov, and L. Qiao, "Novel classifier fusion approaches for fault diagnosis in automotive systems," IEEE Trans. Instrum. Meas., vol. 58, no. 3, pp. 602-611, Mar. 2009.
22. D. A. Depireux, S. Varma, J. Baras, N. Srour, and T. Pham, "Vehicle classification using acoustic data based on biology hearing model and multi-scale vector quantization," in Proc. 4th Annu. Symp., ARL Federal Lab., Mar. 2000, pp. 83-87.
23. T. R. Damarla and V. Mirelli, "Distributed acoustic sensor data processing for target classification," in Proc. SPIE-Unattended Ground, Sea and Air Sensor Technologies and Applications VIII, 2006, vol. 6231, p. 623 105.
24. N. Srour, "Unattended ground sensors-A prospective for operational needs and requirements," Army Res. Lab., Adelphi, MD, Tech. Rep. Prepared for NATO, Oct. 1999.
25. T. R. Damarla, T. Pham, and D. Lake, "An algorithm for classifying multiple targets using acoustic signature," in Proc. SPIE-Signal Processing, Sensor Fusion and Target Recognition XIII, Aug. 2004, vol. 5429, pp. 421-427.
26. A. V. Oppenheim, R. W. Scafer, and J. R. Buck, Discrete-Time Signal Processing, 2nd ed. New York: Prentice-Hall, Jan. 1999.
27. G. P. Mazarakis and J. N. Avaritsiotis, "Vehicle classification in sensor networks using time-domain signal processing and neural networks," Microprocess. Microsyst., vol. 31, no. 6, pp. 381-392, Sep. 2007.
28. H.Wu and J.M.Mendel, "Classification of battlefield ground vehicles using acoustic features and fuzzy logic rule-based classifiers," IEEE Trans. Fuzzy Syst., vol. 15, no. 1, pp. 56-72, Feb. 2007.
29. M. Riedmiller and H. Braun, "A direct adaptive method for faster backpropagation learning: The RPROP algorithm," in Proc. IEEE Int. Joint Conf. Neural Netw., 1993, vol. 1, pp. 586-591.