An Iterative Carrier Frequency Estimation Algorithm
Qinglin Liang · Beijing Daxue Xuebao. Zirankexueban · 2008
An iterative data-aided algorithm based on maximum likelihood(ML) for carrier frequency estimation under low signal-to-noise ratio(SNR) environment is proposed.Simulation results show that it can achieve about 3dB lower SNR threshold when compared with MM algorithm.Its estimation range is large,about 40% of the symbol rate and its accuracy is very close to FFT-based maximum likelihood frequency estimation algorithm and the Cramer-Rao lower bound(CRLB).Moreover,the simplified estimator based on proposed algorithm has both lower threshold and less computational complexity when compared with iterative linear prediction(ILP) algorithm.