Optimal signaling and detector design for power constrained on-off keying systems in Neyman-Pearson framework

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buir.contributor.authorGezici, Sinan
dc.citation.epage96en_US
dc.citation.spage93en_US
dc.contributor.authorDulek, Berkanen_US
dc.contributor.authorGezici, Sinanen_US
dc.coverage.spatialNice, Franceen_US
dc.date.accessioned2016-02-08T12:18:09Z
dc.date.available2016-02-08T12:18:09Z
dc.date.issued2011en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 28-30 June 2011en_US
dc.description.abstractOptimal 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 designing the signaling scheme and the decision rule is addressed in order to maximize the probability of detection without violating the constraints on the probability of false alarm and the average transmit power. Based on a theoretical analysis, it is shown that the optimal solution can be obtained by employing randomization between at most two signal values for the on-signal (symbol 1) and using the corresponding NP-type likelihood ratio test at the receiver. As a result, the optimal parameters can be computed over a significantly reduced optimization space instead of an infinite set of functions using global optimization techniques. Finally, a detection example is provided to illustrate how stochastic signaling can help improve detection performance over various optimal and sub-optimal signaling schemes. © 2011 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:18:09Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2011en
dc.identifier.doi10.1109/SSP.2011.5967836en_US
dc.identifier.urihttp://hdl.handle.net/11693/28353
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SSP.2011.5967836en_US
dc.source.title2011 IEEE Statistical Signal Processing Workshop (SSP)en_US
dc.subjectNeyman-Pearson (NP) decision ruleen_US
dc.subjectStochastic signalingen_US
dc.subjectDecision rulesen_US
dc.subjectDetection performanceen_US
dc.subjectDetector designen_US
dc.subjectGlobal optimization techniquesen_US
dc.subjectLikelihood ratio testsen_US
dc.subjectMultimodal channelsen_US
dc.subjectOn-off keyingen_US
dc.subjectOptimal parameteren_US
dc.subjectOptimal signalingen_US
dc.subjectOptimal solutionsen_US
dc.subjectProbability of detectionen_US
dc.subjectProbability of false alarmen_US
dc.subjectSignal valueen_US
dc.subjectStochastic signalingen_US
dc.subjectTransmit poweren_US
dc.subjectDetectorsen_US
dc.subjectGlobal optimizationen_US
dc.subjectSignal detectionen_US
dc.subjectSignal receiversen_US
dc.subjectSignalingen_US
dc.subjectStochastic systemsen_US
dc.subjectOptimizationen_US
dc.titleOptimal signaling and detector design for power constrained on-off keying systems in Neyman-Pearson frameworken_US
dc.typeConference Paperen_US

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