Application of backscatter models to SASS

The authors investigate the possibility of extracting more information from the SASS (sonar array survey system) data by means of the estimation of parameters required for various backscatter models. The first was Lambert's rule, which was found to be applicable to the SASS data. Marsh's (1960) theory, which is a generalization of Rayleigh's method, also is applicable to the SASS data. The third model was Patterson's (1963) model, which was a semi-empirical fit to data. This model took into account the reflection loss between two mediums. An arbitrary fit to data allows for application of this model. Finally, a review of the BISSM (bistatic scattering strength model) equation showed that it is a reasonable theoretical model, but is not readily applicable to SASS.<>