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- W1997331410 abstract "The Rao test of weak signal in non-Gaussian clutter is addressed. Both the models of Gaussian mixture distribution and Alpha-stable distribution are used to simulate the clutter distribution of airborne early warning radar. The improved expectation maximization algorithm [4] and iterative algorithm are used to estimate the parameters of Gaussian mixture distribution and Alpha-stable distribution respectively, and then the Rao decision rule under non-Gaussian clutter environment is presented. Theory analyses and simulation results indicate that the detection performances of Rao test based on non-Gaussian clutter hypothesis outperform that of Rao test based on Gaussian clutter hypothesis." @default.
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- W1997331410 date "2011-10-01" @default.
- W1997331410 modified "2023-10-18" @default.
- W1997331410 title "The rao test of weak signal in non-Gaussian clutter" @default.
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- W1997331410 doi "https://doi.org/10.1109/cisp.2011.6100575" @default.
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