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
Link To Document :
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