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
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;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.775971
