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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
Pages163-167
Number of pages5
DOIs
StatePublished - 12 Aug 2011
Externally publishedYes
Event2011 3rd International Conference on Electronics Computer Technology, ICECT 2011 - Kanyakumari, India
Duration: 8 Apr 201110 Apr 2011

Publication series

NameICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
Volume4

Conference

Conference2011 3rd International Conference on Electronics Computer Technology, ICECT 2011
Country/TerritoryIndia
CityKanyakumari
Period8/04/1110/04/11

Keywords

  • Ambient noise
  • RLS
  • SNR
  • Spectral Estimation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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