2019
DOI: 10.1142/s2591728518500615
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Experimental Study of Geoacoustic Inversion with Reliable Acoustic Path in the Philippine Sea

Abstract: The bottom parameters of the deep ocean are difficult to obtain through in situ measurement. These parameters demonstrate a significant physical meaning for predicting sound field accurately. Thus, geoacoustic inversion is required. An acoustic experiment was performed on a reliable acoustic path (RAP) in the Philippine Sea in 2013. A single bottom-moored hydrophone was deployed as the receiver, and the explosive charges were chosen as the sources. The experimental bottom loss (BL) versus angle was obtained wi… Show more

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Cited by 4 publications
(2 citation statements)
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“…Besides localization and communication, RAP sound energy has also been applied in geo-acoustic inversion and ocean tomography. Geo-acoustic parameters in the Philippine Sea were obtained using RAP sound energy (Xu et al, 2019), and Varamo et al examined the feasibility of RAP tomography by employing a mobile ship with an acoustic source transmitting to a fixed bottom hydrophone at the ALOHA Cabled Observatory (Varamo and Howe, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Besides localization and communication, RAP sound energy has also been applied in geo-acoustic inversion and ocean tomography. Geo-acoustic parameters in the Philippine Sea were obtained using RAP sound energy (Xu et al, 2019), and Varamo et al examined the feasibility of RAP tomography by employing a mobile ship with an acoustic source transmitting to a fixed bottom hydrophone at the ALOHA Cabled Observatory (Varamo and Howe, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Generally, geoacoustic parameters, such as sediment sound speed, attenuation, and density can be estimated by matching the measured acoustic characteristics with the replicas generated from the acoustic computational model. Following this thought, the matched-field inversion method [4] exploits the spatial diversity of the channel's response and the reflection inversion method [5] used the reflection-coefficient data collected at different frequencies and angles. However, these methods usually require an array to receive signals.…”
Section: Introductionmentioning
confidence: 99%