Abstract
To estimate the motion parameters of a wideband moving target which is passing by the closest point of approach (CPA) of the receiving linear array, a theoretical method based on detection and analysis parabolic striations (the striations can be extracted using an image processing technique such as the HOUGH transform) of the low-frequency analyzing and recording gram data (LOFARgram) is proposed. While a traditional approach uses one sensor with one LOFARgram, the method proposed here needs at least two LOFARgrams (sensors) to calculate the motion parameters. First, the theoretical equations for calculating the waveguide invariant (WI) target course angle, velocity and range from the LOFARgram are derived. Then, the method is employed to process the LOFARgrams which are obtained from an acoustic toolbox simulation. The parameters estimation results show the validity of the method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Li, Q.H.: Principle of Digital Sonar Design. Anhui Education Press, Hefei (2002)
Brian, G.F., Kam, W.L.: Passive ranging errors due to multipath distortion of deterministic transient signals with application to the localization of small arms fire. J. Acoust. Soc. Am. 111(1), 117–128 (2002)
Mao, W.N.: An overview of passive localization for under-water acoustics. J. Southeast Univ. 31(6), 1–4 (2001)
Burdic, W.S.: Underwater Acoustic System Analysis. Prentice-Hall, Englewood Cliffs (1991)
Xue, S.H., Ye, Q.H., Huang, H.N., et al.: Passive-range estimation using near-field MVDR dual focused beamformers. Appl. Acoust. 24(3), 177–181 (2005)
Shang, E.C., Clay, C.S., Wang, Y.Y.: Passive harmonic source ranging in waveguides by using mode filter. J. Acoust. Soc. Am. 78(1), 172–175 (1985)
Ma, J.G.: Passive Localization Technology of Time Reversal. Ph.D Thesis, Harbin Engineering University (2007)
Sun, G.Q., Li, Q.H.: Progress of study on acoustic vector sensor. Acta Acustica 29(6), 481–490 (2004)
Ren, Y., Qi, Y.B.: Waveguide invariant and range estimation based on phase-shift-compensation of underwater acoustic spectrograms. In: Advances in Ocean Acoustics. Proceedings of the 3rd International Conference on Ocean Acoustics, vol. 1495(1), pp. 627–633 (2012)
Li, J., Sun, G.Q., et al.: Acoustics vector sensor linear array passive ranging based on waveguide invariant. In: Advances in Ocean Acoustics. Proceedings of the 3rd International Conference on Ocean Acoustics, vol. 1495(1), pp. 576–586 (2012)
Acknowledgments
We thank professor T.C. Yang and W.A. Kuperman for their good advice to this research project during OA 2012. This work was supported by: Open fund of State Key Laboratory of acoustics (SKLA201504); Natural Science Foundation of JiangSu Province of China (No. BK20161195); Central University fund (2013B18514, 2015B25214, 2014B16114). National Natural Science Foundation of China (Grant No. 61273170).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Zhejiang University Press and Springer Science+Business Media Singapore
About this paper
Cite this paper
Li, J., Han, G., Zhou, D., Tang, K., Han, Q. (2016). Target Motion Parameter Estimation for LOFARgrams Based on Waveguide Invariants. In: Zhou, L., Xu, W., Cheng, Q., Zhao, H. (eds) Underwater Acoustics and Ocean Dynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2422-1_12
Download citation
DOI: https://doi.org/10.1007/978-981-10-2422-1_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2421-4
Online ISBN: 978-981-10-2422-1
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)