“…where env(⋅) defines the data envelope and can be calculated by applying Hilbert Transform to the data then taking amplitudes. The correlation coefficients, (5) and (6), are normally high in the absence of SIWs. They drop to a low value when the SIWs enter the acoustic propagation plane.…”
Section: B Acoustic Methods For Detection Of Siwsmentioning
confidence: 99%
“…12(a). When the first soliton is detected by node pair (6,8), the first soliton is in the mesh surrounded by node 5, 6, 8, and 9, and the second soliton is in the mesh defined by node 1, 2, 4, and 5, as shown in Fig. 12(b).…”
Section: Single-parameter Estimationmentioning
confidence: 99%
“…Sound speed changes caused by SIWs have been routinely measured by thermistor strings in oceanographic and acoustic experiments, which record the temperature data. An eigenvector analysis for these changes was done by Qu et al, in 2019 [6] . A world map of SIWs was reported based on in-situ sensors, aircraft and satellites [1] .…”
A method to detect solitary internal waves passing through the sensors area in shallow water and estimate their parameters is proposed in this paper using distributed acoustic sensors. The proposed detection method is based on cross correlation of the (envelop of) channel impulse responses estimated from broadband signals transmitted between the sensor nodes with the reference impulse responses in the absence of solitary internal waves. An iterative sequential parameter estimation method is proposed based on time domain matching of the measured channel impulse responses with modeled impulse responses. Simultaneous parameter estimation can be obtained using a global search method such as the matched field inversion. Simulation studies are carried out using environmental acoustic data collected in the northern South China Sea. The results show that the proposed method can effectively detect the existence of passing SIWs, and their parameters can be estimated with reasonable accuracy even under low signal-to-noise ratio conditions. INDEX TERMS Solitary internal waves; Detection; Parameter estimations. Tongchen Wang received the B. S. degree in information and communication engineering from Zhejiang University, Hangzhou, China, in 2013. He is currently working on marine remote sensing for the Ph.D. degree at the
“…where env(⋅) defines the data envelope and can be calculated by applying Hilbert Transform to the data then taking amplitudes. The correlation coefficients, (5) and (6), are normally high in the absence of SIWs. They drop to a low value when the SIWs enter the acoustic propagation plane.…”
Section: B Acoustic Methods For Detection Of Siwsmentioning
confidence: 99%
“…12(a). When the first soliton is detected by node pair (6,8), the first soliton is in the mesh surrounded by node 5, 6, 8, and 9, and the second soliton is in the mesh defined by node 1, 2, 4, and 5, as shown in Fig. 12(b).…”
Section: Single-parameter Estimationmentioning
confidence: 99%
“…Sound speed changes caused by SIWs have been routinely measured by thermistor strings in oceanographic and acoustic experiments, which record the temperature data. An eigenvector analysis for these changes was done by Qu et al, in 2019 [6] . A world map of SIWs was reported based on in-situ sensors, aircraft and satellites [1] .…”
A method to detect solitary internal waves passing through the sensors area in shallow water and estimate their parameters is proposed in this paper using distributed acoustic sensors. The proposed detection method is based on cross correlation of the (envelop of) channel impulse responses estimated from broadband signals transmitted between the sensor nodes with the reference impulse responses in the absence of solitary internal waves. An iterative sequential parameter estimation method is proposed based on time domain matching of the measured channel impulse responses with modeled impulse responses. Simultaneous parameter estimation can be obtained using a global search method such as the matched field inversion. Simulation studies are carried out using environmental acoustic data collected in the northern South China Sea. The results show that the proposed method can effectively detect the existence of passing SIWs, and their parameters can be estimated with reasonable accuracy even under low signal-to-noise ratio conditions. INDEX TERMS Solitary internal waves; Detection; Parameter estimations. Tongchen Wang received the B. S. degree in information and communication engineering from Zhejiang University, Hangzhou, China, in 2013. He is currently working on marine remote sensing for the Ph.D. degree at the
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