Detection of weak signals with random parameters in non-Gaussian clutter

Dennis L. Stadelman; Donald D. Weiner

doi:10.1117/12.217693

1 September 1995 Detection of weak signals with random parameters in non-Gaussian clutter

Dennis L. Stadelman, Donald D. Weiner

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217693
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Dennis L. Stadelman and 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); https://doi.org/10.1117/12.217693

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