Acoustic Signal Processing for Seabed Layer Identification

Abstract

In this critique, chirp sonar signals are processed to classify the bottom sediments. Composed sonar data are sorted and reported. Reproduced and imitated data obtained by sonar parametric analysis is done for target categorization. This paper presents the functions of the duration made by echoes are qualified and separated. Hilbert transform is related with the spreader resound signals to estimate the degree of the underneath desire reactions.