Improving the SNR of the underwater acoustic signal affected by wind driven ambient noise using RLS algorithm

In recent years, the transmission of acoustic signal underwater is a challenging task. Acoustic is the most preferred signal at low frequency because of low absorption characteristics. Acoustic signals are affected by the different background noise which is produced by the breaking waves, rainfall, marine life and flowing wind. Underwater signal transmission is highly affected by wind noise which is predominant at low frequency. To eliminate such type of noises different adaptive filter algorithm are used. In this paper RLS algorithm is proposed to improve the SNR of acoustic signal. The SNR calculated for different speed samples of wind shows an average increase of 15 dB as compare to LMS. The proposed method shows that RLS algorithm performs better as compared to LMS for the calculation for SNR of the underwater acoustic signal.