Title :
Adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water at Indian seas
Author :
Veni, S. Kiruba ; Murugan, S. Sakthivel ; Radha, S
Author_Institution :
Dept. of ECE, SSN Coll. of Eng., Chennai, India
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.
Keywords :
adaptive signal detection; oceanography; sonar detection; underwater acoustic communication; Indian seas; MATLAB; adaptive algorithm; far seas; masking effect; near seas; passive sonar; shallow water; signal-to-noise ratio; underwater acoustic signal detection; underwater ambient noise; underwater communication; Adaptive filters; Algorithm design and analysis; Filtering algorithms; Least squares approximation; Signal to noise ratio; Wind speed; Adaptive algorithm; Ambient noise; LMS; SNR;
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
DOI :
10.1109/ICETECT.2011.5760219