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Proceedings Paper

Detection of weak signals with random parameters in non-Gaussian clutter
Author(s): Dennis L. Stadelman; Donald D. Weiner
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Paper Abstract

New results are presented for optimum coherent detection of signals with random parameters in non-Gaussian clutter. The spherically invariant random vector (SIRV) model is used to characterize the correlated, non-Gaussian clutter samples. A new canonical form for the optimal nonlinear receiver structure is presented. This form incorporates the conventional matched filter which maximizes signal-to-clutter ratio. Closed form solutions for the optimum receivers in Student-t SIRV clutter are presented for the known signal case and in the case of a signal with U(0,2(pi) ) initial random phase. The Student-t clutter example is used to demonstrate the significant improvement in detection probability of the non-Gaussian receiver for the weak signal problem, when compared to conventional Gaussian-based receivers.

Paper Details

Date Published: 1 September 1995
PDF: 12 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217693
Show Author Affiliations
Dennis L. Stadelman, Syracuse Univ. (United States)
Donald D. Weiner, Syracuse Univ. (United States)

Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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