Optimal stochastic signal design and detector randomization in the neyman-pearson framework
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
3025 - 3028
Item Usage Stats
MetadataShow full item record
Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented. © 2012 IEEE.
Published Version (Please cite this version)http://dx.doi.org/10.1109/ICASSP.2012.6288552
Showing items related by title, author, creator and subject.
Kutay, M.Alper, Ozaktas Haldun, M.; Onural Levent, Arikan Orhan (1995)The ordinary Fourier transform is suited best for analysis and processing of time-invariant signals and systems. When we are dealing with time-varying signals and systems, filtering in fractional Fourier domains might allow ...
Performance analysis of cross ambiguity function-Direction finding technique in multipath environments Güldoǧan, M.B.; Arikan, O. (2008)In this paper, recently proposed Cross Ambiguity Function Direction Finding (CAF-DF) array signal processing technique, which make use of the cross ambiguity function calculation, is compared with the MUltiple SIgnal ...
Optimal signaling and detector design for power constrained on-off keying systems in Neyman-Pearson framework Dulek, B.; Gezici, S. (2011)Optimal stochastic signaling and detector design are studied for power constrained on-off keying systems in the presence of additive multimodal channel noise under the Neyman-Pearson (NP) framework. The problem of jointly ...