Marine vessel classification based on passive sonar data: The cepstrum-based approach

IET Radar, Sonar and Navigation

Volumn 7, Issue 1, 2013, Pages 87-93

  Das, Arnab ^a   Kumar, Arun ^a   Bahl, Rajendar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84877801936     PISSN: 17518784     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-rsn.2011.0142     Document Type: Editorial

References (41)

1. Wenz, G.: 'Review of underwater acoustics research: noise', J. Acoust. Soc. Am., 1962, 34, pp. 1936-1956.
2. Wenz, G.: 'Acoustic ambient noise in the ocean: spectra and sources', J. Acoust. Soc. Am., 1971, 51, pp. 1010-1024.
3. Burdic, W.S.: 'Underwater acoustic system analysis' (Prentice-Hall, New Jersey, 1991, 2nd edn.).
4. Jensen, F.B., Kuperman, W.A., Porter, M.B., Schmidt, H.: 'Computational ocean acoustics' (AIP, Woodbury, New York, 1994, 1st edn.).
5. Urick, R.J.: 'Ambient noise in the sea' (Peninsula Publishing, Los Altos, CA, 1986).
6. Das, A.: 'Shallow ambient noise variability due to distant shipping noise and tide', Proc. J. Appl. Acoust., 2011, 72, pp. 660-664.
7. Arase, E.M., Arase, T.: 'Ambient sea noise in the deep and shallow ocean', J. Acoust. Soc. Am., 1967, 42, p. 73.
8. Urick, R.J.: 'Principles of underwater sound' (McGraw-Hill, New York, 1983, 3rd edn.).
9. Arveson, P.T., Vendittis, D.J.: 'Radiated noise characteristics of a modern cargo ship', J. Acoust. Soc. Am., 2000, 107, pp. 118-129.
10. Wales, S.C., Heitmeyer, R.M.: 'An ensemble source spectra model for merchant ship-radiated noise', J. Acoust. Soc. Am., 2002, 111, pp. 1211-123.
11. 'Synthetic data generation for radiated noise of marine vessels'. Technical Report, CARE/SP/TD/2010/1, titled, Apr 2010.
12. Zhang, Y., Jiao, L., Songhua, H.: 'An efficient method of target classification'. Proc. Fourth Int. Conf. on Signal Processing (ICSP), 1998, vol. 2, pp. 1181-1184.
13. Lourens, J.G., Wynand Coetzer, M.: 'Detection of mechanical ship features from underwater acoustic sound'. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 12 April 1987, pp. 1700-1703.
14. Lourens, J.G.: 'Classification of ships using underwater radiated noise'. Proc. the South African Conf. on Communications and Signal Processing, June 1988, pp. 130-134.
15. Rajagopal, R., Sankaranarayanan, B., Rao, P.R.: 'Target classification in a passive sonar-an expert system approach'. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 5 April 1990, pp. 2911-2914.
16. Lourens, J.G.: 'Passive sonar detection of ships with spectrograms'. Proc. the South African Symp. on Communications and Signal Processing, June 1990, pp. 147-151.
17. Rajagopal, R., Kumar, K.A., Rao, P.R.: 'An integrated approach to passive target classification'. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2 April 1994, pp. 313-316.
18. Huang, J., Zhao, J., Xie, Y.:'Source classification using pole method of AR model'. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 1 April 1997, pp. 567-570.
19. Peyvandi, H., Fazaeefar, B., Amindavar, H.'Determining class of underwater vehicles in passive sonar using hidden Markov model with Hausdorff similarity measure'. Proc. of the Int. Symp. on Underwater Technology, April 1998, pp.258-261.
20. Soares-Filho, W., Manoel de Seixas, J., Pereira Caloba, L.: 'Principal component analysis for classifying passive sonar signals'. Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), May 2001, vol. 2, pp. 592-595.
21. Seixas, J.M., Damazio, D.O., Diniz, P.S.R., Soares-Fillho, W.: 'Wavelet transform as a preprocessing method for neural classification of passive sonar signal'. Proc. Eighth IEEE Int. Conf. on Electronics, Circuits and Systems (ICECS), September 2001, vol. 1, pp. 83-86.
22. Soares-Filho, W., Seixas, J.M., Caloba, L.P.: 'Enlarging neural class detection capacity in passive sonar systems'. Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), May 2002, vol. 3, pp. 105-108.
23. Zak, A.: 'Ships classification basing on acoustic signatures', WSEAS Trans. Signal Process., 2008, 4, (4), pp. 137-149.
24. Yang, S., Li, Z., Wang, X.: 'Vessel radiated noise recognition with fractal features', IEE Electron. Lett., 2000, 36, (10), pp. 923-924.
25. Yang, S., Li, Z., Wang, X.: 'Ship recognition via its radiated sound: the fractal based approaches', J. Acoust. Soc. Am., 2002, 112, (1), pp. 172-177.
26. Yang, S., Li, Z.: 'Classification of ship radiated signals via chaotic features', IEE Electron. Lett., 2003, 39, (4), pp. 395-397.
27. Bao, F., Li, C., Wang, X., Q., DuS.'Ship classification using nonlinear features of radiated sound: an approach based on empirical mode decomposition', J. Acoust. Soc. Am., 2010, 128, pp. 206-214.
28. Kim, H.K., Rose, R.C.: 'Cepstrum-domain acoustic feature compensation based on decomposition of speech and noise for ASR in noisy environments', IEEE Trans. Speech Audio Process., 2003, 11, (5), pp. 435-446.
29. Noll, A.M.: 'Cepstrum pitch determination', J. Acoust. Soc. Am., 1967, 41, (2), pp. 293-309.
30. Oppenheim, A.V., Schafer, R.W., Stockham, T.G. Jr.: 'Nonlinear filtering of multiplied and convolved signals', Proc. IEEE, 1968, 56, (8), pp. 1264-1291.
31. Childers, D.G., Skinner, D.P., Kemerait, R.C.: 'The cepstrum: a guide to processing', Proc. IEEE, 1977, 65, (10), pp. 1428-1443.
32. Das, A., Kumar, A., Bahl, R.: 'Radiated signal characteristics of marine vessels in the cepstral domain for shallow underwater channel', J. Acoust. Soc. Am., 2010, 128, (4), pp. 151-156.
33. Bogert, B.P., Healy, M.J., Tukey, J.W.: 'Chap. 15 - The que-frequency analysis of time series for echoes: cepstrum, pseudo-auto covariance, cross-cepstrum, and shape cracking', in Rosenblatt, M. (Ed.): 'Time series analysis' (Wiley, New York, 1963), pp. 209-243.
34. Jensen, F.B., Ferla, C.M.: 'Numerical solutions of range dependent benchmark problems', J. Acoust. Soc. Am., 1990, 87, pp. 1499-1510.
35. Arnaud, J., Cornel, I., Andre, Q.: 'Denoising underwater signals propagating through multi-path channel'. Proc. of the IEEE Int. Conf. OCEANS, Europe, Brest, France, June 2005, pp. 501-506.
36. Li, Q., Wang, J., Wei, W.: 'An application of expert system in recognition of radiated noise of underwater target'. Proc. of the IEEE Int. Conf. OCEANS, San Diego, CA, USA, October 1995, pp. 404-408.
37. Rao, B.D., Hari, K.V.S.: 'Performance analysis of Root-MUSIC', IEEE Trans. Acoust. Speech Signal Process., 1989, 37, (12), pp. 1939-1949.
38. Pesavento, M., Gershman, A.B., Haardt, M.: 'A theoretical and experimental performance study of a Root-MUSIC algorithm based on a real-valued eigen- decomposition'. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), June 2000, vol. 5, pp. 3049-3052.
39. Rahim, M.G., Juang, B.-H., Chou, W., Burke, E.: 'Signal conditioning techniques for robust speech recognition', IEEE Signal Process. Lett., 1996, 3, (4), pp. 107-109.
40. Gose, E., Johnsonbaugh, R., Jost, S.: 'Pattern recognition and image analysis' (Prentice-Hall, New Jersey, 1996).
41. Marques, J., Moreno, P.J. 'A study of musical instrument classification using Gaussian mixture models and support vector machines'. Technical Report Series, CRL 99/4, Cambridge Research Laboratory, June 1999.