Full Text:  <27>

CLC number: 

On-line Access: 2025-03-27

Received: 2024-07-05

Revision Accepted: 2025-03-05

Crosschecked: 0000-00-00

Cited: 0

Clicked: 40

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering 

Accepted manuscript available online (unedited version)


Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation


Author(s):  Qingwang YAO1, Jiajia JIANG1, Xiaolong YU2, Zhuochen LI1, Xiaozong HOU1, Xiao FU1, Fajie DUAN1

Affiliation(s):  1State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China; more

Corresponding email(s):  jiajiajiang@tju.edu.cn

Key Words:  Underwater acoustic signals recognition; Bionic camouflage covert communication; Time-frequency contour masking filtering; Convolutional neural network


Share this article to: More <<< Previous Paper|Next Paper >>>

Qingwang YAO1, Jiajia JIANG1, Xiaolong YU2, Zhuochen LI1, Xiaozong HOU1, Xiao FU1, Fajie DUAN1. Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2400572

@article{title="Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation",
author="Qingwang YAO1, Jiajia JIANG1, Xiaolong YU2, Zhuochen LI1, Xiaozong HOU1, Xiao FU1, Fajie DUAN1",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2400572"
}

%0 Journal Article
%T Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation
%A Qingwang YAO1
%A Jiajia JIANG1
%A Xiaolong YU2
%A Zhuochen LI1
%A Xiaozong HOU1
%A Xiao FU1
%A Fajie DUAN1
%J Frontiers of Information Technology & Electronic Engineering
%P
%@ 2095-9184
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2400572"

TY - JOUR
T1 - Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation
A1 - Qingwang YAO1
A1 - Jiajia JIANG1
A1 - Xiaolong YU2
A1 - Zhuochen LI1
A1 - Xiaozong HOU1
A1 - Xiao FU1
A1 - Fajie DUAN1
J0 - Frontiers of Information Technology & Electronic Engineering
SP -
EP -
%@ 2095-9184
Y1 - in press
PB - Zhejiang University Press & Springer
ER -
doi="https://doi.org/10.1631/FITEE.2400572"


Abstract: 
With the introduction of underwater bionic camouflage covert communication, conventional communication signal recognition methods can no longer meet the needs of current underwater military confrontations. However, the research on bionic communication signal recognition is still not comprehensive. This paper takes underwater communication signals that mimic dolphin whistles through phase-shifting modulation as the research object and proposes a recognition method based on a convolutional neural network. A time-frequency contour masking filtering method is designed, which uses image technology to obtain the time-frequency contour mask of whistles and extracts whistles from the obtained mask. Spatial diversity combining is used to suppress the signal fading in multipath channels. The phase derivative spectrum image is obtained by Hilbert transform and continuous wavelet transform and is then used as the basis for recognition. Finally, the effectiveness of the proposed method is verified by simulation and lake experiments. In the simulation experiments, a recognition accuracy of 90% is achieved at an SNR of 0 dB in multipath channels, and in the real underwater communication environment, a recognition accuracy of 80% is achieved at a symbol width of 50 ms and an SNR of 6.36 dB.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2025 Journal of Zhejiang University-SCIENCE