Application of backscatter models to SASS

Author

Gott, Rebecca M. ; Martinez, Andrew B. ; Bourgeois, Brian S.

Author_Institution

Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA

fYear

1993

fDate

4-7 Apr 1993

Firstpage

0.833333333333333

Abstract

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

Keywords

acoustic wave scattering; array signal processing; backscatter; parameter estimation; sonar signal processing; Lambert´s rule; Marsh theory; Patterson model; Rayleigh´s method; backscatter models; bistatic scattering strength model; parameter estimation; reflection loss; Acoustic beams; Azimuth; Backscatter; Data mining; Geometry; Oceanographic techniques; Parameter estimation; Sea floor; Sea measurements; Sonar equipment;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '93, Proceedings., IEEE

Conference_Location

Charlotte, NC

Print_ISBN

0-7803-1257-0

Type

conf

DOI

10.1109/SECON.1993.465775

Filename

465775