Signal processing techniques used in underwater acoustics

The two underlying goals of most signal processing applications in underwater acoustics are detection and estimation of a signal in the presence of uncertainties. The use of standard techniques such as matched filtering, prewhitening, and adaptive parameter estimation brings into play new dimensions of technology in the face of the wide variability and uncertainty in parameters of the signal and the background. This paper will present an overview of signal processing applications in the field.