Abstract:

Fast and accurate carrier frequency offset estimation is very important in the coherent demodulation for the burst signal. There are some dilemmas in the traditional carrier frequency estimation algorithm, such as estimation accuracy, signal-to-noise ratio (SNR) threshold and estimation range, etc. Aim to these problems, a data aided carrier frequency offset estimation algorithm for burst and low SNR signal is put forward based on the discrete Fourier transform (DFT) of the auto correlation of the received signal. The carrier frequency offset can be estimated by windowing to the received signal autocorrelation and DFT. The simulation results show that, compared with the M&M algorithm, the lower SNR threshold, lower error probability and higher estimation range in the low SNR conditions are achieved for the algorithm. It is very suitable for carrier frequency offset estimation for the burst and low SNR signal.