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