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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2100398


Acoustic localization with multilayer isogradient sound speed profile using TDOA and FDOA


Author(s):  Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU

Affiliation(s):  College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China; more

Corresponding email(s):   wxu@zju.edu.cn

Key Words:  Underwater acoustic sensor network, Acoustic localization, Sound speed profile, TDOA, FDOA


Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU. Acoustic localization with multilayer isogradient sound speed profile using TDOA and FDOA[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100398"
}

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%T Acoustic localization with multilayer isogradient sound speed profile using TDOA and FDOA
%A Dongzhou ZHAN
%A Sitian WANG
%A Shougui CAI
%A Huarong ZHENG
%A Wen XU
%J Journal of Zhejiang University SCIENCE C
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%N -1
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%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100398

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T1 - Acoustic localization with multilayer isogradient sound speed profile using TDOA and FDOA
A1 - Dongzhou ZHAN
A1 - Sitian WANG
A1 - Shougui CAI
A1 - Huarong ZHENG
A1 - Wen XU
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
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EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100398


Abstract: 
In the underwater medium, the speed of sound varies with the water depth, temperature, and salinity. The inhomogeneity of water leads to bending of sound rays, which makes the existing localization algorithms based on straight-line propagation imprecise. To realize high-precision node positioning in underwater acoustic sensor networks (UASNs), a multilayer isogradient sound speed profile (SSP) model is developed using the linear segmentation approximation approach. Then, the sound ray tracking problem is converted into a polynomial rootsearching problem. Based on the derived gradient of the signal's Doppler shift at the sensor node, a novel underwater node localization algorithm is proposed using both the time difference of arrival (TDOA) and frequency difference of arrival (FDOA). Simulations are implemented to illustrate the effectiveness of the proposed algorithm. Compared with the traditional straight-line propagation method, the proposed algorithm can effectively handle the sound ray bending phenomenon. Estimation accuracy with different SSP modeling errors is also investigated. Overall, accurate and reliable node localization can be achieved.

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