1 September 1995 Detection of weak signals with random parameters in non-Gaussian clutter
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dennis L. Stadelman, Donald D. Weiner, "Detection of weak signals with random parameters in non-Gaussian clutter", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217693; https://doi.org/10.1117/12.217693
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