Modeling imprecise detection parameters as fuzzy numbers for a Rician target in Rayleigh background

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

2 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE National Radar Conference - Proceedings
Pages135-137
Publication statusPublished - 2001

Conference

Title2001 IEEE Radar Conference
PlaceUnited States
CityAtlanta, GA
Period1 - 3 May 2001

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 given rise to more than 300% imprecision in the false alarm rate at nominal false alarm rates below 10-5.

Citation Format(s)

Modeling imprecise detection parameters as fuzzy numbers for a Rician target in Rayleigh background. / Leung, S. W.; Minett, J. W.; Lee, M. K.; Siu, Y. M.

IEEE National Radar Conference - Proceedings. 2001. p. 135-137.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review