DocumentCode
1064666
Title
Estimating Signal-to-Noise Ratio (SNR)
Author
Bosworth, Bryan T. ; Bernecky, W. Robert ; Nickila, J.D. ; Adal, Berhane ; Carter, G.Clifford
Author_Institution
Sonar Syst. Dept., Naval Undersea Warfare Center (NUWC), Newport, RI, USA
Volume
33
Issue
4
fYear
2008
Firstpage
414
Lastpage
418
Abstract
In many scientific studies involving evaluation of competing ocean engineering systems or the fundamental limits of system performance it is necessary to compare signal power with noise power; in particular, one needs to estimate the signal-to-noise ratio (SNR). SNR is important in the performance of detection and passive localization, where the bearing to an acoustic source is one parameter to be determined given acoustic signal waveforms received at two hydrophones. We provide a brief explanation of methods to estimate SNR. A discussion is included on the difficulty of this task both in theory and in practice. Simulation results are provided explicitly illustrating the difficulty in obtaining accurate estimates even under ideal conditions. This work has applicability to a wide variety of technical problems including the evaluation of the performance of passive localization techniques of interest to the ocean engineering community.
Keywords
acoustic noise; acoustic signal processing; hydrophones; marine engineering; underwater sound; SNR; acoustic signal waveforms; acoustic source; detection performance; hydrophones; noise power; ocean engineering systems; passive localization; signal power; signal-to-noise ratio estimation;
fLanguage
English
Journal_Title
Oceanic Engineering, IEEE Journal of
Publisher
ieee
ISSN
0364-9059
Type
jour
DOI
10.1109/JOE.2008.2001780
Filename
4749261
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