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...

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Bibliographic Details
Main Authors: Nielsen, P. A., Thomas, J. B.
Other Authors: PRINCETON UNIV NJ DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
Format: Text
Language:English
Published: 1988
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA203821
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA203821
Description
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.