DocumentCode
3088729
Title
Least favorable additive noise under a divergence constraint
Author
McKellips, Andrew L. ; Verdu, Sergio
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
533
Abstract
An uncertainty class of additive noise probability density functions (pdfs) satisfying a constraint on divergence from a prescribed nominal is analyzed in the context of antipodal communication. From within this class, the noise pdf that maximizes detection error probability is determined for both zero-threshold and maximum-likelihood detection strategies. An optional additional constraint on SNR is also considered, and asymptotic behavior is studied for vanishing divergence tolerance
Keywords
Gaussian channels; error statistics; interference (signal); maximum likelihood detection; noise; SNR; additive noise probability density functions; antipodal communication; asymptotic behavior; detection error probability; divergence constraint; least favorable additive noise; maximum-likelihood detection strategy; uncertainty class; vanishing divergence tolerance; zero-threshold detection strategy; Additive noise; Additive white noise; Detectors; Error probability; Gaussian noise; Jamming; Maximum likelihood detection; Noise figure; Tail; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613470
Filename
613470
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