SHERP

Robust sequential detectors employing an order statistic prefilter

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Authors
Lee, Yong-Hwan; Kim, Seung-Jun
Issue Date
1998-04-01
Publisher
Institution of Engineering and Technology
Citation
IEE Proc.-Vis. Image Signal Process., Vol 145, No 2, April 1998, pp.82-87
Keywords
Sequential detectorsOrder statistic filtersSample sizesAdditive non-Gaussian noise
Abstract
Abstract: The authors propose robust detection
schemes for detecting signals corrupted by
additive non-Gaussian noise by employing an
order statistic filter (OSF) as a preprocessor. The
OSF can effectively suppress non-Gaussian noise
components, but its output characteristics are not
easy for mathematical manipulation due to its
nonlinear operation. To alleviate difficulty in the
analytical design of the detector, the output
variance of the OSF is approximated by a
piecewise linear model. The sequential detectors
are designed using the sequential probability ratio
test (SPRT) and truncated SPRT (TSPRT)
schemes. The performance of the proposed
detectors is compared to that of other robust
detectors in terms of the sample size required for
given false alarm and miss detection probabilities.
Finally, analytical results are verified by
computer simulation.
ISSN
1350-245X
Language
English
URI
http://hdl.handle.net/10371/6520
DOI
https://doi.org/10.1049/ip-vis:19981706
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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