DocumentCode :
2293760
Title :
Carrier phase and frequency recovery for MIMO-OFDM
Author :
Jin, Hui ; Moon, Jaekyun ; Jeon, Taehyun ; Lee, Sok-Kyu
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
4
fYear :
2004
fDate :
29 Nov.-3 Dec. 2004
Firstpage :
2669
Abstract :
A new carrier phase and frequency recovery scheme is proposed for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The algorithm uses an extended Kalman filter (EKF) to estimate the instantaneous phase and frequency offset. A linear minimum mean squared error (LMMSE) data-channel extractor is used to isolate the phase and frequency dependent term from the received signal. The proposed algorithm can provide both phase and carrier frequency recovery and has lower complexity than other approaches in the literature. In addition there is very little latency associated with the proposed approach. Simulation results show that the proposed algorithm can track quickly carrier phase and frequency offset and the performance loss compared to the synchronous case is very small.
Keywords :
Kalman filters; MIMO systems; OFDM modulation; communication complexity; least mean squares methods; synchronisation; EKF; LMMSE data-channel extractor; MIMO-OFDM; algorithm complexity; carrier frequency recovery; carrier phase recovery; extended Kalman filter; frequency dependent term; instantaneous frequency offset; instantaneous phase offset; latency; linear minimum mean squared error data-channel extractor; multiple-input multiple-output orthogonal frequency division multiplexing; performance loss; phase dependent term; received signal; Decoding; Delay; Frequency diversity; Frequency estimation; Frequency synchronization; MIMO; OFDM; Phase estimation; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
Type :
conf
DOI :
10.1109/GLOCOM.2004.1378489
Filename :
1378489
Link To Document :
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