@inproceedings{c9c50c30ba004344815c5992ea19fb4f,
title = "Self-noise characteristic analysis of a type of UUV",
abstract = "In recent years, people have increasingly focused on underwater unmanned systems. Research efforts in communication and detection based on underwater unmanned systems have also become a priority. The working performance of the underwater communication and detection system will be affected not only by the external environmental noise but also by the self-noise generated by the underwater unmanned vehicle(UUV). To ensure the working performance of the underwater communication and detection system, the self-noise characteristics of the underwater unmanned system need to be explored. This paper introduces two main self-noise components and analyzes the self-noise data by Welch Spectral analysis and Time-Frequency analysis for the self-noise of 50kg -class UUV platform, and obtains the noteworthy self-noise characteristics. The analysis results in this paper could be some guidance to suppress the self-noise and thus improve the capability of the underwater communication and detection system.",
keywords = "self-noise, spectral analysis, time and frequency analysis, unmanned vehicles",
author = "Shuxun Liu and Qunfei Zhang and Wentao Shi",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 ; Conference date: 25-10-2022 Through 27-10-2022",
year = "2022",
doi = "10.1109/ICSPCC55723.2022.9984568",
language = "英语",
series = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",
}