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Proceedings Paper

Adaptive Ozturk-based receivers for small signal detection in impulsive non-Gaussian clutter
Author(s): Dennis L. Stadelman; Andrew D. Keckler; Donald D. Weiner
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Paper Abstract

Gaussian receivers perform poorly in detecting small targets in non-Gaussian clutter, but significant improvement is available by using an appropriate non-Gaussian receiver. Selection of the proper receiver requires an adequate characterization of the unknown probability density function (PDF) of the clutter. In applications where the clutter environment changes and a limited number of homogeneous samples are available to approximate the PDF, an efficient algorithm is essential. The Oeztuerk PDF approximation algorithm satisfies this requirement, needing on the order of 100 samples from the PDF to be approximated.

Paper Details

Date Published: 4 October 1999
PDF: 12 pages
Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); doi: 10.1117/12.364019
Show Author Affiliations
Dennis L. Stadelman, Syracuse Univ. (United States)
Andrew D. Keckler, Syracuse Univ. (United States)
Donald D. Weiner, Syracuse Univ. (United States)


Published in SPIE Proceedings Vol. 3809:
Signal and Data Processing of Small Targets 1999
Oliver E. Drummond, Editor(s)

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