Modeling of Radiated Noise Passing Characteristic for Ship in Different Marine Environments
- 10.2991/msam-18.2018.8How to use a DOI?
- marine environment; radiated noise for ship; passing characteristic
The ship radiated noise is used as information sources of passive detection and classification, at the same time, the realistic simulation of ship radiated noise signals is an effective way to deceive the passive acoustic detection equipment. In this paper, we analyze a large amount of near field radiation noise data under the same conditions for a certain type of ship, and obtain the statistical characteristics of the radiated noise spectrum; a set of random numbers satisfying this statistical feature was generates using a probability density function to describe the spectrum of the underwater noise source. Use it as an input signal to the filter, an ocean channel filter with arbitrary acoustic velocity profile was established on ray acoustics, and the Fourier synthesis algorithm was used to reconstruct the passing characteristics of the radiated noise signal received by the hydrophone at any depth in a typical shallow sea and deep sea. Finally, the effectiveness of the reconstructed radiated noise waveform is analyzed. The results show that the correlation between the reconstructed signal and the measured ship signal in the frequency domain is greater than 0.8. The modeling method in this paper is very important for the analysis of underwater acoustic signals in the laboratory environment.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liang Zhang AU - Chunxia Meng PY - 2018/07 DA - 2018/07 TI - Modeling of Radiated Noise Passing Characteristic for Ship in Different Marine Environments BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 36 EP - 39 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.8 DO - 10.2991/msam-18.2018.8 ID - Zhang2018/07 ER -