DocumentCode :
1838838
Title :
A maximum likelihood approach for the passive identification of time-varying multipath channels
Author :
Grouffaud, Joël ; Larzabal, Pascal ; Clergeot, Henri
Author_Institution :
LESiR, ENS de CACHAN, France
Volume :
5
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3585
Abstract :
Transmissions through multipath channels suffer from Rayleigh fading and intersymbol interference. This can be overcome by sending a (known) training sequence and identifying the channel (active identification). However, in a nonstationary context, the channel model has to be updated by periodically sending the training sequence, thus reducing the transmission rate. We address the problem of blind identification, which does not require such a sequence and allows a higher transmission rate. In order to track nonstationary channels, we have derived an adaptive (Kalman) algorithm which directly estimates the entire set of characteristic parameters. An original adaptive estimation of the noise model has been proposed for this investigation. Monte-Carlo simulations confirm the expected results and demonstrate the performance
Keywords :
Rayleigh channels; adaptive Kalman filters; adaptive estimation; fading; intersymbol interference; land mobile radio; maximum likelihood estimation; multipath channels; radiofrequency interference; time-varying channels; Monte-Carlo simulations; Rayleigh fading; adaptive algorithm; adaptive estimation; blind identification; intersymbol interference; maximum likelihood approach; noise model; nonstationary channels; passive identification; time-varying multipath channels; tracking; training sequence; transmission rate; Adaptive estimation; Context modeling; Intersymbol interference; Kalman filters; Maximum likelihood estimation; Multipath channels; Parameter estimation; Parametric statistics; Rayleigh channels; Recursive estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.604641
Filename :
604641
Link To Document :
بازگشت