Title :
A new phase and frequency offset estimation algorithm for OFDM systems applying Kalman filter
Author :
Perets, R. ; Bobrovsky, B.Z.
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
Abstract :
In this paper the frequency offset problem in OFDM is addressed. An unknown frequency offset causes per subcarrier amplitude distortion, ICI and phase rotation. In coherent communication accurate frequency as well as phase estimates are required. The estimators are obtained by Kalman filtering, where a frequency domain approach is used. The Kalman filter derived has a structure of a combined phase and frequency tracking loop. The estimator outperforms conventional reported methods, has fast convergence and good tracking ability. Regarding the complexity of the algorithm, the current Kalman filter requires at most 2×2 matrix inversions.
Keywords :
Kalman filters; OFDM modulation; adjacent channel interference; convergence of numerical methods; frequency estimation; frequency-domain analysis; matrix inversion; phase estimation; tracking; ICI; Kalman filter; OFDM systems; coherent communication; combined phase frequency tracking loop; complexity; convergence; frequency domain approach; frequency offset estimation; matrix inversions; per subcarrier amplitude distortion; phase estimation; phase rotation; Convergence; Filtering; Frequency domain analysis; Frequency estimation; Frequency locked loops; Kalman filters; OFDM; Phase distortion; Phase estimation; Tracking loops;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 2002. The 22nd Convention of
Print_ISBN :
0-7803-7693-5
DOI :
10.1109/EEEI.2002.1178470