Modified LMS adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water of Indian sea

Author

Veni, S. Kiruba ; Murugan, S. Sakthivel ; Natarajan, V.

Author_Institution

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

fYear

2011

fDate

3-5 June 2011

Firstpage

901

Lastpage

905

Abstract

In the underwater communication, the biggest challenge is to reduce the masking effect of underwater ambient noise. The main objective of this paper is to develop an optimum modified LMS adaptive algorithm for accurate detection of underwater acoustic signal, which is prone to the effect of ambient noise in the near and far seas. Comparative analyses on various algorithms are performed. This modified LMS algorithm is found better than the other existing algorithms with respect to the Signal to Noise Ratio (SNR) and Mean Square Error (MSE). For this analysis, data collected using passive Sonar at a depth of 5 meters in shallow water region.

Keywords

acoustic signal detection; least mean squares methods; mean square error methods; underwater acoustic communication; Indian Sea; MSE; SNR; ambient noise; mean square error; modified LMS adaptive algorithm; passive Sonar; signal to noise ratio; underwater acoustic signals detection; underwater wireless communication; Algorithm design and analysis; Convergence; Equations; Least squares approximation; Signal to noise ratio; Wind speed; Adaptive algorithm; Ambient noise; LMS; MSE; SNR;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information Technology (ICRTIT), 2011 International Conference on

Conference_Location

Chennai, Tamil Nadu

Print_ISBN

978-1-4577-0588-5

Type

conf

DOI

10.1109/ICRTIT.2011.5972389

Filename

5972389