Removal of Different Noises in Underwater Communication

Abstract

Acoustic waves are the most important characteristic to convey data in underwater domain as a practical method. But the oceans are increasingly exposed to sounds from human activities, such as shipping and the building of foundations for offshore construction projects and other different noises. This work presents the capacity of wiener filter and adaptive filter for removal of noise by estimating the signal by means of removing the noise signal from the corrupted signal. This paper compares the performance of adaptive algorithms for noise cancellation in underwater communication signals with different background noises. The proposed work is simulated using MATLAB and analyzed for different inputs with different algorithms.