DocumentCode
3211025
Title
CFAR data fusion using fuzzy integration
Author
Leung, S.W. ; Minett, James W.
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume
2
fYear
1996
fDate
8-11 Sep 1996
Firstpage
1291
Abstract
This paper presents a new approach to constant false alarm rate (CFAR) data fusion using fuzzy integration. The paper describes how any CFAR scheme may be implemented as part of a fuzzy data fusion scheme by choosing an appropriate membership function to represent the CFAR threshold. Once the threshold membership function of the fuzzy integrator has been set up, the false alarm rate of the scheme is independent of fluctuations in interference mean power and depends only on the number of signals integrated by the data fusion unit and the required false alarm rate
Keywords
fuzzy set theory; integration; interference (signal); sensor fusion; signal detection; constant false alarm rate; fuzzy data fusion; fuzzy integration; interference mean power; signal detection; threshold membership function; Data engineering; Detectors; Fluctuations; Fuzzy sets; Interference; Logic; Random processes; Signal detection; Signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552363
Filename
552363
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