Title :
An algorithm for calibration of TDS-OFDM carrier frequency offset
Author :
Zheng, Jijun ; Zhu, Weile
Author_Institution :
Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fDate :
5/1/2009 12:00:00 AM
Abstract :
A synchronous algorithm applicable for time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) carrier frequency offset (CFO) is proposed in the thesis. This algorithm is based on pseudonoise (PN) sequence and two kinds of maximum likelihood estimation (MLE) algorithms are employed in frequency offset estimation. The first MLE could be implemented by fast Fourier transform (FFT), which is applicable for the calibration of integral frequency offset. The second MLE algorithm is employed in the estimation of decimal frequency offset. Although the MLE themselves are very common, these two MLE algorithms could compensate the deficiencies of each other, and could obtain satisfying results. The Cramer-Rao (CRO) lower bound of the algorithm is deduced in the thesis so as to evaluate the performance of the algorithm. According to the simulation results, even if under the circumstances of a very low SNR, the estimations on different frequency offsets are close to the CRO lower bound.
Keywords :
OFDM modulation; fast Fourier transforms; frequency estimation; maximum likelihood estimation; radio networks; random sequences; Cramer-Rao lower bound; TDS-OFDM carrier frequency offset; decimal frequency offset; fast Fourier transform; frequency offset estimation; integral frequency offset; maximum likelihood estimation algorithm; orthogonal frequency division multiplexing; pseudonoise sequence; synchronous algorithm; time domain synchronous carrier frequency offset; Calibration; Data communication; Digital multimedia broadcasting; Fast Fourier transforms; Frequency estimation; Frequency synchronization; HDTV; Maximum likelihood estimation; OFDM; Wireless communication; Frequency offset estimation, orthogonal; frequency division multiplexing (OFDM), training symbol,; maximum likelihood estimation;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2009.5174395