DocumentCode :
3100367
Title :
Modeling imprecise detection parameters as fuzzy numbers for a Rician target in Rayleigh background
Author :
Leung, S.W. ; Minett, J.W. ; Lee, M.K. ; Siu, Y.M.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
fYear :
2001
fDate :
2001
Firstpage :
135
Lastpage :
137
Abstract :
The performance of a radar detector may become inaccurate when key parameters of the system are imprecise. Imprecise parameters are modeled here as fuzzy numbers. The fuzzy integrator detector is constructed for a Rician target in Rayleigh background. Results indicate that the precision of the detection performance decreases as parameter imprecision increases. The false alarm rate is particularly sensitive to parameter imprecision at low false alarm rate; 5% imprecision in the parameters can give rise to more than 300% imprecision in the false alarm rate at nominal false alarm rates below 10-5
Keywords :
Rayleigh channels; Rician channels; fuzzy set theory; radar detection; radar theory; uncertainty handling; Rayleigh background; Rician target; false alarm rate; fuzzy integrator detector; fuzzy numbers; imprecise detection parameters; modeling; radar detector performance; Decision making; Detectors; Fuzzy logic; Fuzzy sets; Gaussian noise; Predictive models; Radar detection; Rician channels; Signal detection; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2001. Proceedings of the 2001 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6707-3
Type :
conf
DOI :
10.1109/NRC.2001.922965
Filename :
922965
Link To Document :
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