Pattern recognition processing in underwater acoustics

摘要

Pattern recognition application to underwater acoustics is a relatively less explored area, even considering some reports which may not be available in the public domain. In this paper three problem areas of pattern recognition processing in underwater acoustics are reported. The first problem is three-dimensional target motion analysis. A reference map is generated and partitioned into a number of cells corresponding to possible target locations. The pattern matching idea is then used to estimate the target range, velocity and bearing. The second problem is concerned with multipath ranging. An image processing technique is used to extract the significant tracks from the correlograms to provide a continuous estimate of time delay or range under a multipath environment. The third problem deals with submarine transient signals. A spectral analysis is made to determine spectral features for detection and event classification. The use of entropy distance measure for waveform segmentation is then examined. Major computer results are presented along with a discussion of unresolved issues for each problem area.