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Robust sequential detectors employing an order statistic prefilter
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- Authors
- Issue Date
- 1998-04-01
- Citation
- IEE Proc.-Vis. Image Signal Process., Vol 145, No 2, April 1998, pp.82-87
- Keywords
- Sequential detectors ; Order statistic filters ; Sample sizes ; Additive 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
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