Title :
Simulation of backscattering of high frequency sound from complex objects and sand sea-bottom
Author :
George, Oommen ; Bahl, Rajendar
Author_Institution :
Centre for Appl. Res. in Electron., Indian Inst. of Technol., New Delhi, India
fDate :
4/1/1995 12:00:00 AM
Abstract :
This paper describes the simulation of backscattering of high frequency sound from complex objects and sand sea-bottom. Backscattering data from complex objects and seabottom were generated using a Universal High Resolution Imaging Sonar Simulation Toolkit (UHRISST) developed by the authors. Our approach here involves the approximation of objects and the sea-bottom through a series of facets that are small compared to the wavelength. The Target Strength of standard objects like the sphere, cylinder, and cone predicted by our model have been compared with various high frequency approximation formulations and produced a good fit. For the prediction of the backscattering strength from the sea-bottom, we have taken into account most of the small-scale features that represent the sand grain properties, intermediate features that represent seabottom roughness and large features that block propagation. Sea-bottom backscattering predictions made using this model were compared with high frequency scattering strength values measured off Panama City, FL, USA, and produced a moderate fit. Nonparametric statistical analysis was carried out on the bottom backscattering signals from a flat isotropic sea-bottom. The probability distribution function and probability of false alarm function of the bottom backscattering data was measured and found to largely follow the normal distribution
Keywords :
acoustic signal processing; backscatter; digital simulation; geophysical techniques; geophysics computing; oceanographic techniques; statistical analysis; Universal High Resolution Imaging Sonar Simulation Toolkit; approximation formulations; backscattering; backscattering strength; bottom backscattering signals; complex objects; cone; cylinder; false alarm function; flat isotropic sea-bottom; high frequency sound; nonparametric statistical analysis; normal distribution; probability distribution; sand grain properties; sand sea-bottom; sea-bottom backscattering; sphere; underwater sound; Acoustic scattering; Backscatter; Cities and towns; Frequency measurement; Gaussian distribution; High-resolution imaging; Predictive models; Probability distribution; Sonar; Statistical analysis;
Journal_Title :
Oceanic Engineering, IEEE Journal of