| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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Detection and Location of a Target in Layered Media by Snapshot Time Reversal and Reverse Time Migration Mixed Method |
| Hong-Juan Yang1,2**, Jian Li3,4, Xiang Gao5, Jun Ma1, Jun-Hong Li1, Wen Wang1, Cheng-Hao Wang1,2** |
1Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190
2University of Chinese Academy of Sciences, Beijing 100049
3School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan 430200
4State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190
5College of Mechanical Engineering and Application Electronics Technology, Beijing University of Technology, Beijing 100124
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| Cite this article: |
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Hong-Juan Yang, Jian Li, Xiang Gao et al 2019 Chin. Phys. Lett. 36 114301 |
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Abstract A target in layered medium can be located by the ridge-like distribution time reversal and reverse time migration (TR-RTM) mixed method. However, this method cannot distinguish between acoustic field distributions of the interface and target for the wider acoustic pulse signals, which may result in inaccurate location of the target. A snapshot TR-RTM mixed method is proposed to solve this problem. The principle of snapshot TR-RTM mixed method is first given. Experiments are then carried out, and a mountain-like acoustic field distribution is obtained by processing experimental data. The results show that the location of the peak is that of the target, and the ratio of the scattered signal and interface reflection signal (signal-to-interference ratio) is improved by about four times after processing. Furthermore, this method can effectively suppress the interface reflection signal and enhance the target scattering signal. Therefore, it can achieve effective detection and location of a target in a layered medium.
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Received: 15 July 2019
Published: 21 October 2019
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| PACS: |
43.20.+g
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(General linear acoustics)
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43.35.+d
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(Ultrasonics, quantum acoustics, and physical effects of sound)
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43.60.+d
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(Acoustic signal processing)
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| Fund: Supported by the Key Research Program of the Chinese Academy of Sciences under Grant No QYZDY-SSW-JSC007, and the National Natural Science Foundation of China under Grant Nos 11474304 and 11804256. |
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