DocumentCode
340878
Title
New signal detection technique using fuzzy logic
Author
Mourtada, Ali M. ; Bedi, Jatinder S.
Author_Institution
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Volume
4
fYear
1998
fDate
1998
Firstpage
2452
Abstract
The classical cross-correlator detector, used to recover a desired signal from a noisy received signal, has been extended to a fuzzy correlator detector using fuzzy logic algebra to improve the detection of signals. The fuzzy detector uses the proposed combined fuzzy product to model the multiplication of two fuzzy sets. The performance of the fuzzy detector is demonstrated via simulation, and shown to be better than that of the classical correlator detector
Keywords
correlators; fuzzy logic; fuzzy set theory; signal detection; AWGN; BPSK; combined fuzzy product; cross-correlator detector; fuzzy correlator detector; fuzzy detector; fuzzy logic algebra; fuzzy sets multiplication; noisy received signal; performance; signal detection; signal recovery; simulation; Additive white noise; Correlators; Detectors; Fuzzy logic; Fuzzy sets; Fuzzy systems; Gaussian noise; Prototypes; Signal detection; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location
Sydney,NSW
Print_ISBN
0-7803-4984-9
Type
conf
DOI
10.1109/GLOCOM.1998.775971
Filename
775971
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