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Selective Detection and Localization by Decomposition of a Subrank Time Reversal Operator

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Abstract

In this paper, a laboratory experiment for the detection and localization of targets using a subrank beam-based decomposition of the time reversal operator (DORT) method is presented. A rigid 32-element source-receiver array, connected to a programmable electronic system, was deployed in a 1.44-m-deep water tank. Eight snapshots, much less than the number of the array, were collected to construct a covariance matrix for replacing the time reversal operator. The experimental setup consisted of placing a non-pointlike scatterer and a pointlike scatterer at the same range but at different depths. It was shown that focusing is only achieved on each target at a frequency with a relatively large singular value. Due to the fact that the largest target is apparently stronger than the smallest one, the coupling between targets has a minor effect on the quality of the focusing or on the position of the largest target. The frequencies that can achieve good focusing occupancy are three-fourths of the whole frequency band. However, the ratio is significantly decreased when the second singular vector is numerically backpropagated.

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Acknowledgments

The authors gratefully acknowledge the support for the waveguide experiment from Hangzhou Applied Acoustics Research Institute. This work was supported by the Natural Science Foundation of China (grant No. 61101231), Science and Technology Department of Zhejiang Province Public Welfare Projects (grant No. 2013C31003) and Zhejiang Provincial Natural Science Foundation of China (grant No. Y1100629).

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Correspondence to Chunxiao Li .

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© 2016 Zhejiang University Press and Springer Science+Business Media Singapore

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Li, C., Guo, M., Lu, H. (2016). Selective Detection and Localization by Decomposition of a Subrank Time Reversal Operator. 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_14

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  • DOI: https://doi.org/10.1007/978-981-10-2422-1_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2421-4

  • Online ISBN: 978-981-10-2422-1

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