Sequential method for obtaining parameters of bottom sound and stratification of sediment

By using an improved particle filtering method, combined with cross-spectral density and likelihood function, the problem of slow inversion speed when the number of sedimentary layers changes in traditional methods is solved. This enables rapid acquisition of seafloor acoustic parameters and sedimentary layer structure, providing accurate seafloor information for marine resource development and national defense.

CN117331126BActive Publication Date: 2026-06-26INST OF ACOUSTICS CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF ACOUSTICS CHINESE ACAD OF SCI
Filing Date
2022-06-23
Publication Date
2026-06-26

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    Figure CN117331126B_ABST
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Abstract

The application provides a sequential method for obtaining seabed geoacoustic parameters and sediment layer structure, which comprises the following steps: firstly, calculating the cross-spectral density of all frames as observation data according to the sound pressure received by a hydrophone; then, sampling the model according to the complexity of the sediment layer number change model in proportion, and sampling the geoacoustic parameters according to the state equation; calculating the sound pressure copy field based on the sediment layer number and the geoacoustic parameters, and calculating the Bartlett correlation between the sound pressure copy field and the sound pressure observation data, then calculating the likelihood function, and calculating the particle weight according to the likelihood function; then, resampling the particles, and inversely calculating the sediment layer number and the geoacoustic parameters at different distances frame by frame; and combining the seabed sediment layer number and the geoacoustic parameter information of all frames to draw a seabed layer structure diagram. The application can be applied to the rapid acquisition of the seabed sediment layer structure, can give the sediment layer structure information of a local sea area, and can provide intuitive and accurate seabed structure information.
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