Title :
Kalman-filtering timing recovery scheme for orthogonal frequency domain multiplexing (OFDM) systems
Author :
Hajirostam, Mohamad ; Maddah-Ali, M.A. ; Haft-Baradaran, A. ; Kilani, M.T. ; Fakhraie, S.M. ; Khani, M. Sharif ; Shoaei, O.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tehran Univ., Iran
Abstract :
This paper describes a new technique for timing synchronization in orthogonal frequency domain multiplexing (OFDM) transceiver systems. The proposed technique is based on non-synchronized sampling rate and no pilot is required to be transmitted. Therefore the transmission capacity is increased. The proposed algorithm employs the angles of the received symbols in the OFDM subchannels and provides a computationally efficient technique for estimation of the timing error. An equivalent state space model is also derived for timing error and then Kalman filtering method is exploited for tracking purposes. The proposed technique is very robust, particularly under low signal to noise ratio conditions and has been verified by means of computer simulations
Keywords :
Kalman filters; OFDM modulation; filtering theory; signal sampling; state-space methods; synchronisation; tracking filters; transceivers; AWGN channel; Kalman-filtering timing recovery; OFDM subchannels; OFDM transceiver systems; SNR; computationally efficient technique; computer simulations; low signal to noise ratio; nonsynchronized sampling rate; orthogonal frequency domain multiplexing; received symbol angle; state space model; timing error estimation; timing synchronization; tracking; transmission capacity; Computer errors; Filtering; Frequency domain analysis; Frequency synchronization; Kalman filters; OFDM; Sampling methods; State-space methods; Timing; Transceivers;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861034