scholarly journals Striation-based source depth estimation with a vertical line array in the deep ocean

2018 ◽  
Vol 143 (1) ◽  
pp. EL8-EL12 ◽  
Author(s):  
Kunde Yang ◽  
Liya Xu ◽  
Qiulong Yang ◽  
Rui Duan
Keyword(s):  
Deep Ocean ◽  
Depth Estimation ◽  
Vertical Line ◽  
Source Depth ◽  
Line Array

Use of multipath time-delay ratio for source depth estimation with a vertical line array in deep water

2021 ◽  
Vol 149 (1) ◽  
pp. 524-539
Author(s):  
Hui Li ◽  
Zhezhen Xu ◽  
Kunde Yang ◽  
Rui Duan
Keyword(s):  
Time Delay ◽  
Deep Water ◽  
Depth Estimation ◽  
Vertical Line ◽  
Source Depth ◽  
Line Array

scholarly journals Reliable Acoustic Path and Direct-Arrival Zone Spatial Gain Analysis for a Vertical Line Array

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3462 ◽  
Author(s):  
Chunyu Qiu ◽  
Shuqing Ma ◽  
Yu Chen ◽  
Zhou Meng ◽  
Jianfei Wang
Keyword(s):  
Sound Propagation ◽  
Correlation Coefficients ◽  
Deep Ocean ◽  
Vertical Line ◽  
Horizontal Line ◽  
Acoustic Path ◽  
Vertical Arrays ◽  
Peak Structure ◽  
Line Array ◽  
Propagation Properties

A method is developed in this paper to calculate the spatial gain of a vertical line array when the plane-wave assumption is not applicable and when the oceanic ambient noise is correlated. The proposed optimal array gain (OAG), which can evaluate the array’s performance and effectively guide its deployment, can be given by an equation in which the noise gain (NG) is subtracted from the signal gain (SG); hence, a high SG and a negative NG can enhance the performance of the array. OAGs and SGs with different array locations are simulated and analyzed based on the sound propagation properties of the direct-arrival zone (DAZ) and the reliable acoustic path (RAP) using ray theory. SG and NG are related to the correlation coefficients of the signals and noise, respectively, and the vertical correlation is determined by the structures of the multipath arrivals. The SG in the DAZ is always high because there is little difference between the multipath waves, while the SG in the RAP changes with the source-receiver range because of the variety of structure in the multiple arrivals. The SG under different conditions is simulated in this work. The “dual peak” structure can often be observed in the vertical directionality pattern of the noise because of the presence of bottom reflection and deep sound channel. When the directions of the signal and noise are close, the conventional beamformer will enhance the correlation of not only the signals but also the noise; thus, the directivity of the signals and noise are analyzed. Under the condition of having a typical sound speed profile, the OAG in some areas of the DAZ and RAP can achieve high values and even exceed the ideal gain of horizontal line array 10 logN dB, while, in some other areas, it will be lowered because of the influence of the NG. The proposed method of gain analysis can provide analysis methods for vertical arrays in the deep ocean under many conditions with references. The theory and simulation are tested by experimental data.

Numerical simulations of compressive beamforming with a vertical line array in the deep ocean

2013 ◽  
Author(s):  
Geoffrey F. Edelmann ◽  
Ian M. Rooney ◽  
Charles F. Gaumond
Keyword(s):  
Numerical Simulations ◽  
Deep Ocean ◽  
Vertical Line ◽  
Line Array

A Simple Method for Source Depth Estimation with Multi-path Time Delay in Deep Ocean

2016 ◽  
Vol 33 (12) ◽  
pp. 124302 ◽  
Author(s):  
Kun-De Yang ◽  
Qiu-Long Yang ◽  
Xiao-Le Guo ◽  
Ran Cao
Keyword(s):  
Time Delay ◽  
Deep Ocean ◽  
Depth Estimation ◽  
Source Depth ◽  
Simple Method

Comparison of vertical line array data taken at two depths in the deep ocean

1985 ◽  
Vol 77 (S1) ◽  
pp. S70-S71 ◽  
Author(s):  
Mimi Zebrick Lawrence ◽  
Dan J. Ramsdale
Keyword(s):  
Deep Ocean ◽  
Vertical Line ◽  
Array Data ◽  
Line Array

Numerical simulations of compressive beamforming with a vertical line array in the deep ocean

2013 ◽  
Vol 133 (5) ◽  
pp. 3578-3578
Author(s):  
Geoffrey F. Edelmann ◽  
Ian Rooney ◽  
Charles F. Gaumond
Keyword(s):  
Numerical Simulations ◽  
Deep Ocean ◽  
Vertical Line ◽  
Line Array

Data-Derived Estimation of Source Depth Using Vertical Line Array Data in Shallow Water

2011 ◽  
Vol 28 (11) ◽  
pp. 114302 ◽  
Author(s):  
Hao-Zhong Wang ◽  
Ning Wang ◽  
Da-Zhi Gao
Keyword(s):  
Shallow Water ◽  
Vertical Line ◽  
Source Depth ◽  
Array Data ◽  
Line Array
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