Shallow and deep water bottom statistic characterisation: fishery environment

A method for determining a statistic characterisation of sea bottom acoustic data in both shallow and deep water is introduced. This method is based on the consideration that the marine ambient noise is non uniform. Real acoustical digital signal processing methods optimised for Gaussian ambient noise may degrade significantly in a nonGaussian ambient noise, hence, it is important to characterise the biological and environmental acoustical noise accurately, before including its structure in the formulation of the algorithm. In fact it is proved that the ocean ambient noise (NOA) is plausibly non Gaussian (NOA-NG), through the third order statistics (or fourth order) analysis. Tabulated and graphic results derived by experimental data show a general consistency. The authors propose an alternative architecture of estimation for the acoustical measurements techniques in the marine environment. This work is essential in the acoustic estimation of fish behaviour and the connection with the sea bottom nature. >