Title :
Blind CFO tracking in MIMO-OFDM systems at low SNR
Author :
Niu, Yingtao ; Shen, Yuehong
Author_Institution :
Dept. of Wireless Commun., PLA Univ. of Sci. & Technol., Nanjing
Abstract :
A novel blind carrier frequency offset (CFO) estimation and tracking algorithm at low SNR is proposed for multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system. The CFO is estimated initially by cyclic correlation in nonzero cyclic frequency and estimating signal parameter via rotational invariance techniques (ESPRIT), and then CFO is tracked based on least mean square (LMS) criterion. Theory analysis shows that the algorithm doesnpsilat require pilot symbols or training sequences, adapts to the synchronization under any number of receive and transmit antennas and any distributed stationary noise. Simulation results verify the algorithm can track abruptly changed CFO and linearly changed CFO, and keep stable at low SNR.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; frequency estimation; receiving antennas; transmitting antennas; MIMO-OFDM system; blind CFO tracking; blind carrier frequency offset estimation; cyclic correlation; distributed stationary noise; least mean square criterion; multiinput multioutput orthogonal system; nonzero cyclic frequency; orthogonal frequency division multiplexing system; receive antenna; rotational invariance techniques; signal parameter estimation; synchronization; transmit antennas; Adaptive arrays; Algorithm design and analysis; Antenna theory; Frequency estimation; Frequency synchronization; Least squares approximation; OFDM; Parameter estimation; Receiving antennas; Transmitting antennas;
Conference_Titel :
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-2063-6
Electronic_ISBN :
978-1-4244-2064-3
DOI :
10.1109/ICCCAS.2008.4657775
