Title :
Estimating the fading coefficient in mobile OFDM systems using state-space model
Author :
Enescu, Mihai ; Koivunen, Visa
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
In this paper the problem of estimating the fading coefficient in OFDM systems is addressed. Our approach is based on building a state-space model for the OFDM transmission that allows the estimation of the fading coefficient from the received pilot data. A Kalman filter is then applied to estimate and track the time-varying channels in the frequency domain. Our simulations show that reliable channel estimation can be performed under realistic conditions.
Keywords :
4G mobile communication; Kalman filters; OFDM modulation; channel estimation; fading channels; state-space methods; time-varying channels; tracking filters; Kalman filter; channel estimation; fading coefficient estimation; mobile OFDM systems; state-space model; time-varying channels; tracking filter; Channel estimation; Fading; Frequency domain analysis; Frequency estimation; Narrowband; OFDM; Signal processing; State estimation; Time-varying channels; Wireless communication;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1466030
