Source Localization Using Multi-Path Time Delays Measured by Two Hydrophones in the Deep Ocean

2019 ◽  
Vol 105 (1) ◽  
pp. 248-252
Author(s):  
Ran Cao ◽  
Kunde Yang ◽  
Yuanliang Ma ◽  
Qiulong Yang ◽  
Huijun Xia ◽  
...  
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Deep Ocean

scholarly journals Moving source localization with a single hydrophone using multipath time delays in the deep ocean

2014 ◽  
Vol 136 (2) ◽  
pp. EL159-EL165 ◽  
Author(s):  
Rui Duan ◽  
Kunde Yang ◽  
Yuanliang Ma ◽  
Qiulong Yang ◽  
Hui Li
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Deep Ocean ◽  
Moving Source

MICROPHONE ARRAY SYSTEM IN ACOUSTICAL SOURCE LOCALIZATION USING LEAST SQUARE ESTIMATION

1996 ◽  
Vol 06 (06) ◽  
pp. 581-591
Author(s):  
MING JIAN ◽  
ALEX C. KOT ◽  
MENG H. ER
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Signal To Noise Ratio ◽  
Microphone Array ◽  
Time Delay Estimation ◽  
Least Square ◽  
Delay Estimation ◽  
Signal To Noise ◽  
Least Square Estimation ◽  
Five Elements

In this paper, we address the problem of acoustical source localization using a five-elements microphone array system. The time delay estimation of signal arrival for any given pair of microphones using least square technique is proposed. These estimated time delays are used in the geometric location method to determine the location of the acoustical source which, in our case, is the position of talker of interest. Computer simulations are carried out in a teleconferencing room scenario. It is shown that the location of the acoustical source can be estimated effectively as signal-to-noise ratio is larger than 20 dB in a high reverberation environment.

Source Localization in a Deep Ocean Using the Time Difference of Multipath Arrivals

2019 ◽  
Vol 105 (5) ◽  
pp. 888-891
Author(s):  
Wenxu Liu ◽  
Yixin Yang ◽  
Xijing Guo ◽  
Yong Wang ◽  
Yang Shi
Keyword(s):  
Source Localization ◽  
Sound Propagation ◽  
Deep Ocean ◽  
Sea Surface ◽  
Propagation Mode ◽  
Sound Waves ◽  
Relative Time ◽  
Leading Role ◽  
Single Receiver ◽  
Ray Tracing Model

Bottom bounce is a typical sound propagation mode in deep oceans. A receiver moored below the sea surface receives sound waves transmitted from a submerged source through multipath paths. Four of them which traveled by bottom bounce mode play the leading role in source localization. A passive broadband source localization method is proposed herein based on the four arrival paths and using a single receiver. Through autocorrelation of the signal that is mainly composed of four multipath arrivals, six positive relative time diff erences that are dependent on the source range and depth are acquired via combination. The time diff erences are sorted in an ascending order to form a measured vector. A ray-tracing model is used to predict the replica vector. Then, the source is localized by fitting the replica vector to the measured one. An experiment is conducted in the South China Sea. The proposed method is utilized to successfully localize a source at a depth of 47 m below the surface and at a distance of 13.6 km.

scholarly journals Deep-learning source localization using autocorrelation functions from a single hydrophone in deep ocean

2021 ◽  
Vol 1 (3) ◽  
pp. 036002
Author(s):  
Yining Liu ◽  
Haiqiang Niu ◽  
Zhenglin Li ◽  
Mengyuan Wang
Keyword(s):  
Deep Learning ◽  
Source Localization ◽  
Deep Ocean ◽  
Autocorrelation Functions

scholarly journals Source localization in the deep ocean using a convolutional neural network

2020 ◽  
Vol 147 (4) ◽  
pp. EL314-EL319 ◽  
Author(s):  
Wenxu Liu ◽  
Yixin Yang ◽  
Mengqian Xu ◽  
Liangang Lü ◽  
Zongwei Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Source Localization ◽  
Deep Ocean

scholarly journals Source localization by matching sound intensity with a vertical array in the deep ocean

2019 ◽  
Vol 146 (6) ◽  
pp. EL477-EL481 ◽  
Author(s):  
Wenxu Liu ◽  
Yixin Yang ◽  
Liangang Lü ◽  
Yang Shi ◽  
Zongwei Liu
Keyword(s):  
Source Localization ◽  
Sound Intensity ◽  
Deep Ocean ◽  
Vertical Array
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