Robust minimum distance Neyman-Pearson detection of a weak signal in non-Gaussian noise

Abstract

In practice, noise distributions usually are not Gaussian and may vary in a wide range from light-tailed to heavy-tailed forms. To provide robust detection of a weak signal, a maximin in the Huber sense Neyman-Pearson detector based on the minimum distance between the signal and observations is designed. Explicit formulas for the power of detection and the… (More)

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@article{Shevlyakov2009RobustMD, title={Robust minimum distance Neyman-Pearson detection of a weak signal in non-Gaussian noise}, author={Georgy L. Shevlyakov and Kyungmin Lee and Vladimir Shin and Kiseon Kim}, journal={2009 17th European Signal Processing Conference}, year={2009}, pages={1012-1016} }