Title :
Markovian model of the error probability density and application to the error propagation probability computation of the weighted, decision feedback equalizer
Author :
Goupil, A. ; Palicot, J.
Author_Institution :
FT R&D/DMR/DDH, CCETT, Cesson Sevigne, France
Abstract :
A Markovian model of the error probability density for decision feedback equalizer is proposed and its application to the error propagation probability computation is derived. The model is a generalization of the Lutkemeyer and Noll (see ICC, Porto Carras, Greece, June 1998). It is obtained by the analysis of the Gaussian mixture distribution of the errors which follows a Markov process. The analysis of this process shows that the error propagation probability of the weighted DFE is less than the one of the classical DFE
Keywords :
Gaussian distribution; Markov processes; decision feedback equalisers; error statistics; Gaussian mixture distribution; Markov process; Markovian model; error probability density; error propagation probability; weighted DFE; weighted decision feedback equalizer; wireless networks; 3G mobile communication; Decision feedback equalizers; Degradation; Error probability; GSM; Markov processes; Maximum likelihood estimation; Mean square error methods; Research and development; Wireless networks;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940515
