scholarly journals Passive broadband source depth estimation in the deep ocean using a single vector sensor

2020 ◽  
Vol 148 (1) ◽  
pp. EL88-EL92
Author(s):  
Yubo Qi ◽  
Shihong Zhou ◽  
Yuquan Liang ◽  
Shuyuan Du ◽  
Changpeng Liu
Keyword(s):  
Deep Ocean ◽  
Depth Estimation ◽  
Source Depth ◽  
Vector Sensor

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

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

Source depth estimation using multi-station waveform data

1984 ◽  
Vol 74 (5) ◽  
pp. 1623-1643
Author(s):  
Falguni Roy
Keyword(s):  
Depth Estimation ◽  
The United States ◽  
Digital Data ◽  
United States Geological Survey ◽  
Travel Times ◽  
Source Depth ◽  
Time Data ◽  
Waveform Data ◽  
Level Ii ◽  
Level I

Abstract A depth estimation procedure has been described which essentially attempts to identify depth phases by analyzing multi-station waveform data (hereafter called level II data) in various ways including deconvolution, prediction error filtering, and spectral analysis of the signals. In the absence of such observable phases, other methods based on S-P, ScS-P, and SKS-P travel times are tried to get an estimate of the source depth. The procedure was applied to waveform data collected from 31 globally distributed stations for the period between 1 and 15 October 1980. The digital data were analyzed at the temporary data center facilities of the National Defense Research Institute, Stockholm, Sweden. During this period, a total number of 162 events in the magnitude range 3.5 to 6.2 were defined by analyzing first arrival time data (hereafter called level I data) alone. For 120 of these events, it was possible to estimate depths using the present procedure. The applicability of the procedure was found to be 100 per cent for the events with mb > 4.8 and 88 per cent for the events with mb > 4. A comparison of level I depths and level II depths (the depths as obtained from level I and level II data, respectively) with that of the United States Geological Survey estimates indicated that it will be necessary to have at least one local station (Δ < 10°) among the level I data to obtain reasonable depth estimates from such data alone. Further, it has been shown that S wave travel times could be successfully utilized for the estimation of source depth.

Formulas for Source Depth Estimation From Multipath Arrivals in Deep Water

2020 ◽  
Vol 56 (6) ◽  
pp. 4856-4871
Author(s):  
Rui Duan ◽  
Kunde Yang ◽  
Feiyun Wu ◽  
Yuanliang Ma
Keyword(s):  
Deep Water ◽  
Depth Estimation ◽  
Source Depth

ARAP - Deep Ocean Vector Sensor Research Array

OCEANS 2006 ◽  
2006 ◽  
Author(s):  
James McEachern ◽  
James McConnell ◽  
John Jamieson ◽  
David Trivett
Keyword(s):  
Deep Ocean ◽  
Vector Sensor
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