TY - JOUR
T1 - Detecting fixed amplitude signals in a fuzzy Gaussian environment
AU - Minett, J. W.
AU - Leung, S. W.
AU - Wong, P. W.
PY - 1999
Y1 - 1999
N2 - In practical signal detection scenarios, parameters of a random process are often uncertain. In this paper, we model such uncertainties as fuzzy parameters of a stationary random process. A fuzzy Neyman-Pearson hypothesis test concept which accepts any number of fuzzy parameters is presented. A suitable decision rule is developed by applying theory for ordering fuzzy numbers, and stated in terms of a fuzzy threshold. A defuzzifying threshold is then applied to produce a crisp decision rule. The concepts developed here are applied to Neyman-Pearson detection of a fuzzy fixed amplitude signal in Gaussian noise with fuzzy variance.
AB - In practical signal detection scenarios, parameters of a random process are often uncertain. In this paper, we model such uncertainties as fuzzy parameters of a stationary random process. A fuzzy Neyman-Pearson hypothesis test concept which accepts any number of fuzzy parameters is presented. A suitable decision rule is developed by applying theory for ordering fuzzy numbers, and stated in terms of a fuzzy threshold. A defuzzifying threshold is then applied to produce a crisp decision rule. The concepts developed here are applied to Neyman-Pearson detection of a fuzzy fixed amplitude signal in Gaussian noise with fuzzy variance.
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M3 - 21_Publication in refereed journal
VL - 1
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SN - 0884-3627
T2 - 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
Y2 - 12 October 1999 through 15 October 1999
ER -