Effect of Correlation on Signal Detection in Arctic Under-Ice Noise
Signal detection in a large segment of non-Gaussian and non- stationary Arctic under-ice noise, which contains both high power narrow-band and impulsive components, is examined. It is shown that the correlation functions of sub-segments of data change significantly, and if ignored, can degrade the p...
Main Authors: | , |
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Format: | Text |
Language: | English |
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1988
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Online Access: | http://www.dtic.mil/docs/citations/ADA203821 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA203821 |
Summary: | Signal detection in a large segment of non-Gaussian and non- stationary Arctic under-ice noise, which contains both high power narrow-band and impulsive components, is examined. It is shown that the correlation functions of sub-segments of data change significantly, and if ignored, can degrade the performance of a detector. For a false alarm probability of 0.05 and a known constant signal, the matched filter was on average 17.6% better than a detector designed assuming independent noise samples. It is also shown that pre- processing the data with an adaptive notch filter, then using the matched filter will result in a further improvement of about 6%. Additionally, the effect two different signal shapes have on the performance of the matched filter is examined. Keywords: Acoustic data; Underice acoustic detectors. Presented at the Annual Asilomar Conference on Signals, Systems, and Computers (22nd), Asilomar, CA, 31 Oct-2 Nov 1988. |
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