Abstract
The single-channel deconvolution of acoustic transients for source classification purposes can be sensitive to small errors in the computed ocean Green’s functions. These errors arise due to incomplete environmental and source location information. The sensitivity was studied by perturbing the Green’s functions in such a way as to produce improved source estimates from field measurements. A systematic technique to do this was developed using a weighted, linear optimization approach. It was discovered that small changes in the computed Green’s functions could improve the source estimate significantly. It was also determined that the match between the simulations and the measured data is closely connected to the match between the source estimates and the measured source waveform, hence the sensitivity is not just due to deconvolution. This relationship was quantified by using the correlation coefficient. This study is part of an effort to determine the applicability of deterministic deconvolution to the problem of transient classification. [Work supported by ONR under NRL program management.]
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