Applications of matched-field processing to inverse problems in underwateracoustics

This paper will define the signal processing technique known as matched-fie ld processing and provide an overview of its recent applications to inverse problems of underwater acoustics. These applications include: the localiza tion of a source (the determination of source range, depth, and azimuth), t omography for the estimation of deep ocean sound-speed profiles (or, equiva lently, temperature) over large volumes of water, the estimation of shallow water bottom properties (such as sediment thicknesses, sound speeds, densi ties, and attenuations), the evaluation of numerical model performance: (re lative to benchmark models), and the localization of array hydrophones (est imation of array deformation).