Bayram, S.Gültekin, SanGezici, Sinan2016-02-082016-02-082012-06http://hdl.handle.net/11693/28144Conference Name: 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE 2012Date of Conference: 17-20 June 2012Noise enhanced detection is studied for binary composite hypothesis-testing problems in the presence of prior information uncertainty. The restricted Neyman-Pearson (NP) framework is considered, and a formulation is obtained for the optimal additive noise that maximizes the average detection probability under constraints on worst-case detection and false-alarm probabilities. In addition, sufficient conditions are provided to specify when the use of additive noise can or cannot improve performance of a given detector according to the restricted NP criterion. A numerical example is presented to illustrate the improvements obtained via additive noise. © 2012 IEEE.EnglishBinary hypothesis-testingNeyman-PearsonNoise enhanced detectionBinary compositesDetection probabilitiesNumerical examplePrior informationSpectrum sensingSufficient conditionsAdditive noiseSignal processingWireless telecommunication systemsDetectorsConference Paper10.1109/SPAWC.2012.6292975