Title :
Analysis of adaptive algorithms to improve the SNR of the acoustic signal affected due to wind driven ambient noise in shallow water
Author :
Murugan, S. Sakthivel ; Natarajan, V. ; Veni, S.K. ; Balagayathri, K.
Author_Institution :
Dept. of ECE, SSN Coll. of Eng., Chennai, India
Abstract :
Underwater signal transmission is a challenging task since the usable frequency range is limited to low frequency and the transmission of electromagnetic waves is impossible due to its high attenuation nature. Hence low frequency acoustic signal is more suited for transmission in underwater. Underwater transmission is highly affected by wind noise which is predominant at low frequency. The real time data collected from Indian Seas at Chennai (Bay of Bengal) are studied in detail using Welch, Bartlett and Blackman estimation methods and the results shows the effect of wind over 0-8 kHz range. Various adaptive algorithms are analyzed in detail and the Signal to Noise Ratio (SNR) values are tabulated for different wind speeds. The results shows that Recursive Mean Square (RLS) works better when compared to others. The maximum Signal to Noise Ratio (SNR) of about 42-51 dB is achieved.
Keywords :
noise; oceanographic techniques; underwater acoustic propagation; Bartlett estimation method; Bay of Bengal; Blackman estimation method; Chennai; Indian Seas; SNR values; Welch estimation method; acoustic signal; adaptive algorithm analysis; ambient noise; electromagnetic wave transmission; high attenuation nature; low frequency acoustic signal; real time data; recursive mean square; shallow water; signal-to-noise ratio; underwater signal transmission; wind effect; wind speeds; Adaptive algorithms; Adaptive filters; Algorithm design and analysis; Estimation; Least squares approximation; Signal to noise ratio; Ambient Noise; RLS; SNR; Spectral Estimation;
Conference_Titel :
Ocean Electronics (SYMPOL), 2011 International Symposium on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-0263-0
DOI :
10.1109/SYMPOL.2011.6170515
