Suppr超能文献

一种使用单个水听器和测量的复制场对水面舰艇进行测距的匹配场处理方法。

A matched-field processing approach to ranging surface vessels using a single hydrophone and measured replica fields.

作者信息

Lo Kam W

机构信息

Maritime Division, Defence Science and Technology Group, 13 Garden Street, Eveleigh, New South Wales 2015, Australia.

出版信息

J Acoust Soc Am. 2021 Mar;149(3):1466. doi: 10.1121/10.0003631.

Abstract

A matched-field processing (MFP) approach is proposed to provide instantaneous estimates of the horizontal range of a surface vessel moving in shallow water, using a single hydrophone located above the sea bottom. The field to be matched is the cepstrum of the acoustic signal received at the hydrophone. A set of replica fields (cepstra), each at a known horizontal range, is generated using the recorded acoustic data for a typical surface vessel transit in the area of interest. The instantaneous horizontal range of any surface vessel moving in the same area of interest is estimated by finding the replica field that best matches the observed field. The proposed method is tested using real acoustic data recorded from a bottom-mounted linear array of eight hydrophones, for six transits of a small ship and a single transit of a rigid-hulled inflatable boat in shallow water. In this experiment, the replica fields are generated using the acoustic data from the two hydrophones at both ends of the array for one of the small ship transits. The proposed MFP method is applied, in turn, to the acoustic data from each hydrophone for each vessel transit, and the results demonstrate the effectiveness of the method.

摘要

提出了一种匹配场处理(MFP)方法,该方法利用位于海底上方的单个水听器,对在浅水中移动的水面舰艇的水平距离进行实时估计。待匹配的场是水听器接收到的声学信号的倒谱。使用感兴趣区域内典型水面舰艇航行时记录的声学数据,生成一组复本场(倒谱),每个复本场对应一个已知的水平距离。通过找到与观测场最匹配的复本场,估计在同一感兴趣区域内移动的任何水面舰艇的瞬时水平距离。使用从底部安装的由八个水听器组成的线性阵列记录的真实声学数据,对一艘小船的六次航行以及一艘刚性船体充气艇在浅水中的单次航行进行了测试,以此验证所提出的方法。在该实验中,利用该阵列两端两个水听器的声学数据,为其中一次小船航行生成复本场。将所提出的MFP方法依次应用于每艘舰艇每次航行时每个水听器的声学数据,结果证明了该方法的有效性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验