Abstract
A new matched field processing (MFP) approach has been applied to existing (but limited) dolphinlike binaural data. The frequencies range from 25 to 200 kHz with the received quasi-monostatic echo lasting less than 4.0 ms. The data discussed consist of backscatter echoes from a mud bottom, a drum buried in the bottom, and a Manta-like object also buried in the bottom. The MFP approach (using NO modeling of any kind) was designed to extract differences between apparently similar signals. Since the available data show overly strong and different returns for all the targets, we first manipulate the data to bring them more into line with expectations. The new data were then processed to yield a target ‘‘template’’ of scattered returns as a function of time and frequency characterizing the target returns. These templates can easily be used to detect and identify scattering from targets on or in the bottom in low S/N situations. [Work supported by ONR.]
Published Version
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