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Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation
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Qingwang YAO1, Jiajia JIANG†‡1, 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, 1998, -1(-1): .
@article{title="Recognition method for underwater communication signals that mimic dolphin whistles using phase-shifting modulation",
author="Qingwang YAO1, Jiajia JIANG†‡1, Xiaolong YU2, Zhuochen LI1, Xiaozong HOU1, Xiao FU1, Fajie DUAN1",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="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 JIANG†‡1
%A Xiaolong YU2
%A Zhuochen LI1
%A Xiaozong HOU1
%A Xiao FU1
%A Fajie DUAN1
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 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 JIANG†‡1
A1 - Xiaolong YU2
A1 - Zhuochen LI1
A1 - Xiaozong HOU1
A1 - Xiao FU1
A1 - Fajie DUAN1
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 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.
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