Detecting fixed amplitude signals in a fuzzy Gaussian environment
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
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Detail(s)
Original language | English |
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Journal / Publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 1 |
Publication status | Published - 1999 |
Conference
Title | 1999 IEEE International Conference on Systems, Man, and Cybernetics |
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Place | Japan |
City | Tokyo |
Period | 12 - 15 October 1999 |
Link(s)
Abstract
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.
Citation Format(s)
Detecting fixed amplitude signals in a fuzzy Gaussian environment. / Minett, J. W.; Leung, S. W.; Wong, P. W.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, 1999.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, 1999.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review