Αποτελέσματα Αναζήτησης
1 Σεπ 2024 · Sound speed profiles (SSPs) characterize the spatial distribution of sound velocity, significantly impacting the trajectory of acoustic signals. Consequently, they play a crucial role in determining the efficiency and precision of communication, localization, and other practical applications.
- Reconstructing Sound speed profiles worldwide with Sea surface data
Sound Speed Profile (SSP) is the key factor affecting...
- Reconstructing Sound speed profiles worldwide with Sea surface data
15 Μαρ 2022 · The structure of a sound speed profile (SSP) in deep water causes refraction of sound rays and Convergence Zones (CZs) of high intensity where the rays focus at shallow depth. Study of sound field characteristics in the CZs has always been the focus of deep-water acoustics research.
A sound speed profile shows the speed of sound in water at different vertical levels. It has two general representations: tabular form, with pairs of columns corresponding to ocean depth and the speed of sound at that depth, respectively.
31 Μαΐ 2024 · It proposes two methods for EOF reconstruction of measured sound speed profiles extended to full water depth by splicing measured sound speed profiles at non-full water depths with historical average sound speed profiles of the surveyed sea area.
6 Μαΐ 2024 · The potential for exploiting oceanic vessel noise as a sound source of opportunity to estimate ocean sound speed profile is investigated. A deep learning-based inversion scheme, relying upon the underwater radiated noise of moving vessels measured by a single hydrophone, is proposed.
The axis of this channel is at the depth of minimum sound speed: typically 600-1200 m at low and middle latitudes (Figure 2.1a), but approaching the surface in Polar Regions.
1 Αυγ 2018 · Sound Speed Profile (SSP) is the key factor affecting underwater acoustics and it is of great value to obtain SSP in near real-time. In this paper, the sea surface data were used to reconstruct the SSP with the single empirical orthogonal function regression (sEOF-r) method in a global scale.
