Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
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Article Number | 01018 | |
Number of page(s) | 11 | |
Section | Study of Advanced Materials and Performance Analysis | |
DOI | https://doi.org/10.1051/matecconf/202133601018 | |
Published online | 15 February 2021 |
Measurement of reflection coefficient for a double-layered scaled model using the inverse filter
1 Systems Engineering Research Institute, Fengxian east road No.1, Haidian district, Beijing, China
2 College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
* Corresponding author: songhaox@163.com
A method of measuring the reflection coefficient for a double-layered scaled model using the inverse filter is presented. First, the response of the circuit and underwater acoustical channel is measured, and the retransmitted inverse signal isestimated with the least square method for solving the cost function, which is constructed by the inverse filtering theory. Then, by retransmitting the inverse signal, the incident signal at the position of the double-layered scaled model is focused with high-main-lobe resolution, low side-lobelevel and a narrow pulse signal in temporal domain. The focus improves the measurement accuracy of the reflection coefficient for the double-layered scaled model in low frequencies. The feasibility of replacing the whole cylindrical with the double-layered scaled model is verified by simulation. The validity of the proposed method is verified by experiments carried out in a cylindrical tank for a double-layered scaled model at the frequency 0.5 kHz~10 kHz. The experimental results show that the proposed method is effective to the measurement of the reflection coefficient for the double-layered scaled model.The experimental results for the double-layered scaled model with acoustical coating on different shells have strongly directive significance for the process design and improvement of the acoustical coating.
© The Authors, published by EDP Sciences, 2021
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