Publication Type:

Conference Paper


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



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


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.

Cite this Research Publication

S. Veni, Murugan, S. S., and Natarajan, V., “Modified LMS adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water of Indian sea”, in 2011 International Conference on Recent Trends in Information Technology (ICRTIT), 2011.