Automated Sound Speed Classification for Optimized Search Tactics
1998
Delbalzo, Don
My long-term goal is to provide an enhanced acoustic performance prediction capability for Navy sensors and operations. A second goal is to fully address the local sound speed profile (SSP) field by developing efficient methods to incorporate Modular Ocean Data Assimilation (MODAS) information. My working hypothesis is as follows. For a given local area, the current acoustic environment defines areas where target detection is probable and areas where it is not. Rather than having a valuable Navy platform conduct a potentially inefficient, equally-spaced, rectangular search pattern for detecting targets, the local environment and existing acoustic models can be used to derive an expedient and optimized pattern that is specific to the area. This capability is particularly relevant in shallow water areas where oceanographic, and therefore acoustic, characteristics can exhibit extreme temporal and spatial variability.
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