An Investigation on Under Water Images of Hydroacoustic Environment using RLS Algorithm

Interference is one of the challenges associated with transmitting data in a hydro acoustic channel under complex propagation circumstances. The effect of multipath propagation causes interference. As a result of this action, transmission parameters are lowered and, in some circumstances, completely terminated. As a consequence, adaptive filtering based Recursive Least Squares (RLS) is employed to improve the data transmission quality in a hydroacoustic channel with large reflections. The effect of the data transmission across a hydroacoustic channel was thoroughly investigated. The data generated may also be used to evaluate the efficacy of using RLS adaptive filtering to improve the data transmission quality. Parameters like BER and SAR are utilized as quantitative metrics to validate the proposed results.