A method of carrier frequency estimation based on spectral analysis of digital communication signal
Xiaojie Sun, Quanyuan Feng · 2010
For digital communication signal carrier frequency estimation problem, proposing a novel algorithm to improve the accuracy in frequency estimation by transforming the character of cyclic autocorrelation correlation to frequency domain to highlight the effective signal spectral, and tuning the effective carrier frequency spectrum. When the carrier frequency is under 150K, simulation results show that the estimation error is less than 0.08% for ASK and FSK on condition that the SNR is not less than -12dB, while the it is not more than 0.05% for BPSK and QPSK respectively when the SNR is not less than-8dB and 6dB. With increasing of SNR, the estimation results will improve, suiting for practical application.