Publication Type:

Conference Paper

Source:

2011 International Conference on Emerging Trends in Electrical and Computer Technology, IEEE (2011)

Keywords:

Adaptive algorithm, Adaptive filters, adaptive signal detection, Algorithm design and analysis, ambient noise, far seas, Filtering algorithms, Indian seas, Least squares approximation, LMS, masking effect, MATLAB, near seas, oceanography, passive Sonar, shallow water, Signal to noise ratio, signal-to-noise ratio, SNR, sonar detection, underwater acoustic communication, underwater acoustic signal detection, underwater ambient noise, underwater communication, Wind speed

Abstract:

Effective underwater communication can be carried out when the masking effect of underwater ambient noise is reduced. The main objective of this paper is to develop an optimum adaptive algorithm for accurate detection of the underwater acoustic signal buried due to the effect of ambient noises in the near and far seas. A comparative analysis on various algorithms using MATLAB is performed and to validate its performance the signal to noise ratio is calculated. For this analysis the data collected using passive Sonar at Chennai at a depth of 5metre in shallow water region is considered.

Cite this Research Publication

S. Veni, S. Murugan, S., and Radha, S., “Adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water at Indian seas”, in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, 2011.

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