@inproceedings{05b21fe3e9454611a71a1507ef042fc5,
title = "Analysis and SNR comparision of various adaptive algorithms to denoise the wind driven ambient noise in shallow water",
abstract = "Underwater signal transmission is a challenging task since the usable frequency range is limited to low frequency and the transmission of electromagnetic waves was impossible due to its high attenuation nature. Hence low frequency acoustic signal is more suited for transmission in underwater. Underwater transmission is highly affected by wind noise which is predominant at low frequency. The real time data collected from Indian Seas at Goa are studied in detail using Welch estimation method and the results shows the effect of wind over 100 to 8 kHz range. Different adaptive filter algorithms are analyzed in detail to eliminate the effect due to wind on the signal transmitted and signal to noise ratio is calculated. The SNR obtained for 24 types of adaptive algorithms are analyzed and tabulated for different wind speed. The results shows that RLS algorithm works better when compared to others. The maximum SNR of about 80 dB is achieved.",
keywords = "Ambient noise, LMS, SNR, Spectral Estimation",
author = "Murugan, {S. Sakthivel} and V. Natarajan and Kumar, {R. Rajesh} and K. Balagayathri",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/INDCON.2011.6139467",
language = "English",
isbn = "9781457711091",
series = "Proceedings - 2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011",
booktitle = "Proceedings - 2011 Annual IEEE India Conference",
note = "2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011 ; Conference date: 16-12-2011 Through 18-12-2011",
}