Analysis of power spectral density and development of an adaptive algorithm for filtering wind driven ambient noise in shallow water

Author

Kumar, R. Rajesh ; Murugan, S. Sakthivel ; Natarajan, V. ; Radha, S

Author_Institution

Dept. of ECE, SSN Coll. of Eng., Chennai, India

Volume

4

fYear

2011

fDate

8-10 April 2011

Firstpage

163

Lastpage

167

Abstract

Underwater signal transmission is a challenging task since the usable frequency range is limited to low frequency and the transmission of electromagnetic waves is 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 Chennai are studied in detail using Welch, Bartlett and Blackman estimation methods and the results shows the effect of wind over 0-8 kHz range. Various adaptive algorithms are analyzed in detail and the SNR values are tabulated for different wind speeds. The results shows that RLS algorithm works better when compared to others. The maximum SNR of about 80 dB is achieved.

Keywords

acoustic signal processing; estimation theory; filtering theory; signal denoising; underwater acoustic communication; wind; Indian Seas; Welch-Bartlett-Blackman estimation methods; adaptive algorithm; low frequency acoustic signal; power spectral density; shallow water; underwater signal transmission; wind driven ambient noise filtering; Adaptive algorithms; Adaptive filters; Estimation; Finite impulse response filter; Signal to noise ratio; Wind speed; Ambient noise; RLS; SNR; Spectral Estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5941879

Filename

5941879