Title :
Kalman filter for channel tracking in wireless MC-CDMA systems
Author :
Cheng, H. ; Zhang, Z.G. ; Chan, S.C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ.
Abstract :
This paper presents a Kalman filtering channel estimator for wireless multicarrier code-division multiple access (MC-CDMA) communication systems. Joint Kalman filter and Kalman filter per-subcarrier schemes are employed to track the time-varying channel. Pilot symbols are equally-placed in the training subcarriers for channel estimation. The proposed pilot-aided channel tracking scheme presents better performance than the decision-directed method in the case of high fading rate. The robustness of the Kalman filter is also studied when the fading rate is unknown. Numerical simulations illustrate the performance of the proposed pilot-aided channel estimator
Keywords :
Kalman filters; channel estimation; code division multiple access; fading channels; radiocommunication; time-varying channels; tracking; Kalman filtering persubcarrier scheme; MC-CDMA communication system; fading; pilot symbol; pilot-aided channel estimator; subcarrier training; time-varying channel tracking; wireless multicarrier code-division multiple access; Channel estimation; Fading; Filtering; Frequency diversity; Kalman filters; Multiaccess communication; Multicarrier code division multiple access; OFDM; Signal to noise ratio; Time-varying channels;
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
DOI :
10.1109/SSP.2005.1628679
