Title :
Real-time channel estimation using fuzzy logic
Author :
Arani, F. ; Smietana, R. ; Honary, B.
Author_Institution :
Commun. & Signal Process., Lancaster Univ., UK
Abstract :
The use of real time channel estimation information is known to result in significant performance advantages in coded systems operating on fading channels. Little work has been done in fast and accurate channel signal to noise ratio estimation in a very noisy channels (SNR<0 dB). In this paper, a new real time channel estimation technique using the Viterbi algorithm and fuzzy logic concepts is presented
Keywords :
Viterbi decoding; channel coding; digital communication; encoding; fading; fuzzy logic; interference (signal); maximum likelihood estimation; real-time systems; time-varying channels; Viterbi algorithm; channel signal to noise ratio estimation; coded systems; fading channels; fuzzy logic; performance; real-time channel estimation; very noisy channels; Channel estimation; Decoding; Digital communication; Fading; Fuzzy logic; Real time systems; Signal processing; Signal to noise ratio; Throughput; Viterbi algorithm;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.535804
