Title :
Identification of Time-Varying Frequency-Flat Rayleigh Fading Channels Based on Errors-In-Variables Approach
Author :
Jamoos, Ali ; Bobillet, William ; Grivel, Eric ; Nour, Hanna Abdel ; Najim, Mohamed
Author_Institution :
Equipe Signal & Image, UMR, Talence
Abstract :
This paper deals with the identification of time-varying frequency-flat Rayleigh fading channels disturbed by an additive white Gaussian noise, using a training sequence based approach. When the channel is modeled by an autoregressive (AR) process, it can be estimated by using a Kalman filter. However, this solution requires the preliminary unbiased estimations of the AR parameters and the variances of both the additive noise and the driving process in the state space representation of the system. Instead of using the existing noise compensated approaches which usually require a long observation window and do not necessarily provide reliable estimates when the signal to noise ratio is low, we propose an alternative approach using recent results developed for the errors-in-variables (EIV) issue. This method consists in estimating the kernel of specific autocorrelation matrices and has the advantage of providing both the noise variances and the channel AR parameters. Moreover, the maximum Doppler frequency can be also deduced
Keywords :
AWGN; Kalman filters; Rayleigh channels; autoregressive processes; channel estimation; matrix algebra; state-space methods; time-varying channels; Kalman filter; additive white Gaussian noise; autocorrelation matrices; autoregressive process; errors-in-variables approach; maximum Doppler frequency; signal to noise ratio; time-varying frequency-flat Rayleigh fading channel identification; training sequence; Additive noise; Autocorrelation; Channel estimation; Diversity reception; Fading; Frequency; Least squares approximation; Recursive estimation; Signal to noise ratio; Wireless communication;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-9710-X
Electronic_ISBN :
0-7803-9711-8
DOI :
10.1109/SPAWC.2006.346353