DocumentCode :
2618063
Title :
Worst-case power-constrained noise for binary-input channels with varying amplitude signals
Author :
Klimesh, Matthew A. ; Stark, Wayne E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear :
1994
fDate :
27 Jun-1 Jul 1994
Firstpage :
381
Abstract :
We consider the problem of communicating in the presence of an additive jammer. The transmitted binary signal amplitude is allowed to vary according to a pseudorandom pattern known at the receiver. We obtain criteria as to what the optimal (communicator) amplitude distributions and (jammer) noise distributions should look like, and some comparative results on the performance in general. We present specific results for the special case where the performance measure is probability of error with maximum-likelihood detection. For this performance measure we also obtain precise results when the amplitude distributions are limited to those with at most two different amplitude levels
Keywords :
jamming; maximum likelihood detection; noise; probability; time-varying channels; additive jammer; amplitude distributions; binary signal amplitude; binary-input channels; error probability; jammer noise distribution; maximum-likelihood detection; performance measure; power-constrained noise; pseudorandom pattern; receiver; varying amplitude signals; Density functional theory; Density measurement; Error probability; Jamming; Maximum likelihood detection; Mutual information; Noise level; Noise measurement; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
Type :
conf
DOI :
10.1109/ISIT.1994.394638
Filename :
394638
Link To Document :
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