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Application Of Digital Image Processing To Acoustic Ambiguity Functions

The passive acoustic ambiguity function is a measure of the cross-spectrum in a Doppler-shift and time-delay space that arises when two or more passive receivers are used to monitor a moving acoustic source. Detection of a signal source in the presence of noise has been treated in the past from a communications-theory point of view, with considerable effort devoted to establishing a threshold to which the maximum value of the function is compared. That approach disregards ambiguity function topography information which in practice is manually used to interpret source characteristics and source kinematics. Because of the two-dimensional representation of the ambiguity function, digital image processing techniques can be easily applied for the purposes of topography enhancement and characterization. This work presents an overview of techniques previously reported as well as more current research being conducted to improve detection performance and automate topography characterization.