Vertical coherence of ambient noise in shallow waters of Bay of Bengal

Sanjana, M. C.; Latha, G.; Rajendran, V.

doi:10.1109/sympol.2009.5664160

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Ambient noise in the ocean has been measured and studied over half a century. Even though vertical coherence of ambient noise in the deep ocean has been given considerable attention since 1960's, only few shallow water measurements have been reported in the frequency range of less than 2 kHz Sanjana et al (2009). A model for the spatial correlation of ambient noise in deep waters has been proposed by Walker and Buckingham (2012) who considered both surface and volume noise sources.…”

Section: Coherencementioning

confidence: 99%

Comparison and Analysis of Vertical Coherence in the Shallow Water of Two Ocean Region

SIVAKUMAR¹

2013

American Journal of Applied Sciences

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Noise characteristics at shallow water is highly variable due to wave guide nature of the shallow water environment, reflection of noise from the bottom surface; due to biological activities and also due the sound speed in shallow water vary substantially. Thus noise field characterization is complex in shallow water. The ambient noise data was collected in the shallow water of Arabian Sea and the Bay of Bengal using the hydrophone suspended from the measuring platform. In this study, the comparison between vertical coherence of wind generated ambient noise in the shallow water of Arabian Sea and Bay of Bengal region is done. The noise spectra for both the region are also estimated. The relation between wind speed and noise at constant frequency is also found out

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Section: Coherencementioning

confidence: 99%

Comparison and Analysis of Vertical Coherence in the Shallow Water of Two Ocean Region

SIVAKUMAR¹

2013

American Journal of Applied Sciences

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“…Many contributions on acoustic communications have been investigated of which most of them focus mainly on denoising the acoustic signal using wavelets, development of adaptive algorithm for underwater acoustic telemetry system and filtering system to compensate for the distortion introduced due to multipath propagation in underwater communication [4][5][6]. The authors of [7] analyzed the time series measurements of ambient noise from an automated noise measurement system in shallow water for vertical coherence.…”

Section: Introductionmentioning

confidence: 99%

Analysis of MNLMS and KLMS Algorithm for Underwater Acoustic Communications

Murugan¹,

Natarajan

Radha³

2012

Fluct. Noise Lett.

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Communicated by Laszlo B. KishThe use of adaptive filters to alleviate the degradation caused by wind driven ambient noise in shallow water is considered in this paper. Since, underwater acoustic signals are greatly affected by the ocean interference and ambient noise disturbances when propagating through underwater channels, an effective adaptive filtering system is necessary for denoising the signal which are degraded by noise. Least mean square (LMS), normalized LMS (NLMS), Modified New LMS (MNLMS) and Kalman LMS (KLMS) based adaptive algorithms are analyzed in terms of their performance with the aid of performance measure characteristics such as signal to noise ratio (SNR) and mean square error (MSE). The MNLMS is developed by calculating an optimum learning parameter that best suits for the acoustic signal used. The analysis is carried out for a range of 100 Hz to 10 KHz source signals and the algorithm proves that any ambient noise signals against the source signal in this range can be eliminated and the source signal can be reconstructed. Our simulation results show that KLMS and MNLMS algorithms achieve remarkable performance even in the very low SNR region as compared to LMS and NMLS algorithms. Moreover, it is observed that the output convergence is also very fast for MNLMS and KLMS.

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Modeling vertical coherence of wave breaking noise in shallow water and comparison with field measurements

Sanjana

Latha

2010

Oceans 2010 MTS/Ieee Seattle

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Vertical coherence of ambient noise in shallow waters of Bay of Bengal

Cited by 4 publications

References 10 publications

Comparison and Analysis of Vertical Coherence in the Shallow Water of Two Ocean Region

Comparison and Analysis of Vertical Coherence in the Shallow Water of Two Ocean Region

Analysis of MNLMS and KLMS Algorithm for Underwater Acoustic Communications

Modeling vertical coherence of wave breaking noise in shallow water and comparison with field measurements

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