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Updated: Nov 19, 2025

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
Published on: January 28, 2021
A statistical approach for analyzing and modeling multibeam echosounder backscatter, including the influence of
Luciano Fonseca1, Xavier Lurton2, Ridha Fezzani2
1Department of Electronic Engineering, Universidade de Brasilia (UnB), Brasilia, Brazil.
Abstract:
The statistical analysis of acoustic backscatter samples recorded by multibeam echosounders can be a valuable tool for remote seafloor characterization and interpretation. The present paper aims at analyzing the statistics of backscatter data values, both in "raw" status and after various averaging operations, using field data. It is shown that the statistics of the data can be adequately described by a Weibull distribution parametrized by the incidence angle and the level of applied processing: the distribution of the averaged backscatter amplitude, processed according to various schemes, varies from a Rayleigh law for raw data to lognormal and finally to Gaussian distribution after successive averaging operations. Based on these results, some recommendations for the calculation of the mean backscatter strength are presented. Finally, the influence of high-amplitude scatterers in the backscatter probability density function is addressed; a scheme is suggested to separate the contributions of the substrate from the contributions of the scatterers on the statistical distribution of sonar data samples.

