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# Asymptotically optimal detection in incompletely characterized non-Gaussian noise

@article{Kay1989AsymptoticallyOD, title={Asymptotically optimal detection in incompletely characterized non-Gaussian noise}, author={Steven M. Kay}, journal={IEEE Trans. Acoustics, Speech, and Signal Processing}, year={1989}, volume={37}, pages={627-633} }

- Published 1989 in IEEE Trans. Acoustics, Speech, and Signal…
DOI:10.1109/29.17554

The problem of detecting a signal known except for amplitude in non-Gaussian noise is addressed. The noise samples are assumed to be independent and identically distributed with a probability density function known except for a few parameters. Using a generalized likelihood ratio test, it is proven that for a symmetric noise probability density function, the detection performance is asymptotically equivalent to that obtained for a detector designed with a priori knowledge of the noise… CONTINUE READING

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