A Radiated-Noise Simulator for Underwater Target Based on Vector Time Series

Article Preview

Abstract:

The vector time series model for simulating the underwater target radiated-noise is developed in this paper. Experimental results show that the true value lying outside the confidence interval would be a small probability event.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4023-4026

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] R. J. Urick: Principles of Underwater Sound/3d edition (McGraw Hill Book Company, 1998).

Google Scholar

[2] B. S. Sharif, J. Neasham, O. R. Hinton, etc: A computationally efficient Doppler compensation system for underwater acoustic communications, IEEE J. Ocean. Eng., Vol. 25 No. 1 (2000) pp.52-61.

DOI: 10.1109/48.820736

Google Scholar

[3] B. Li, S. Zhou, M. Stojanovic, etc: Multicarrier communications over underwater acoustic channels with nonuniform Doppler shifts, IEEE Journal of Oceanic Engineering, Vol. 33 No. 2 (April 2008) pp.198-209.

DOI: 10.1109/joe.2008.920471

Google Scholar

[4] Y. T. Chan, S. W. Rudnicki: Bearings-Only and Doppler-Bearing Tracking Using Instrumental Variables, IEEE Transactions on AES, (1992) 28 (4): 1076-1082.

DOI: 10.1109/7.165369

Google Scholar

[5] K. A. Becker: General Approach to TMA Observability from Angle and Frequency Measurements, IEEE Transaction on Aerospace and Electronic Systems, Vol. 32 No. 1 (1996) pp.487-494.

DOI: 10.1109/7.481293

Google Scholar

[6] J. Liu, Z. Liu, Z. Xuan: The research of underwater passive TMA algorithm with bearings and frequencies measurements, Ship Science and Technology, Vol. 28 No. 3 (Jun. 2006) pp.66-69.

Google Scholar

[7] S. Zhao, Z. Song: Research of TMA Based on Bearings and Line Doppler Shift, Fire Control & Command Control, Vol. 29 No. 3(2004. 6) pp.74-76.

Google Scholar

[8] J. Hamilton: Time Series Analysis (Princeton University Press, Princeton, 1994).

Google Scholar

[9] H. Akaike. A new look at the statistical model identification, IEEE Transactions on Automatic Control 19(6): 716-723, (1974).

DOI: 10.1109/tac.1974.1100705

Google Scholar

[10] H. Lutkepohl. Introduction to multiple time series analysis (Springer-Verlag, New York, 1993).

Google Scholar

[11] W. W. Wei. Time series analysis: univariate and multivariate methods (New York: Addison-Wesley, 1989).

Google Scholar