An Approach for Diver Passive Detection Based on the Established Model of Breathing Sound Emission
Clicks: 176
ID: 110593
2020
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
6.9
/100
23 views
23 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Diver breathing sounds can be used as a characteristic for the passive detection of divers. This work introduces an approach for detecting the presence of a diver based on diver breathing sounds signals. An underwater channel model for passive diver detection is built to evaluate the impacts of acoustic energy transmission loss and ambient noise interference. The noise components of the observed signals are suppressed by spectral subtraction based on block-based threshold theory and smooth minimal statistic noise tracking theory. Then the envelope spectrum features of the denoised signal are extracted for diver detection. The performance of the proposed detection method is demonstrated through experimental analysis and numerical modeling.
| Reference Key |
tu2020journalan
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Qiang Tu;Fei Yuan;Weidi Yang;En Cheng;Tu, Qiang;Yuan, Fei;Yang, Weidi;Cheng, En; |
| Journal | journal of marine science and engineering |
| Year | 2020 |
| DOI |
10.3390/jmse8010044
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.