A Method Based on Quinn Algorithm to Improve The Accuracy of PMF-FFT Doppler Frequency Estimation

In the satellite positioning receiver, it is essential to capture the satellite signal and obtain the carrier and Doppler frequency. Whereas, there is a vital problem that the Doppler frequency offset of 100 kilohertz with the change rate of thousands of kilohertz per second under the high dynamic environment which has higher requirements on capture algorithm. Aiming at the Doppler frequency search efficiency of traditional PMF-FFT algorithm, this paper proposes a Quinn-PMF-FFT. Before estimating the Doppler frequency, there is double zero padding, the point of signal does 2N to fill after zero Fourier transform arithmetic, and makes the increase in the number of spectral signal spectrum in the main lobe, then gets more spectral information to modified of the peak position. It is also can obtain more accurate Doppler frequency estimation, and carry out the simulation experiment. Via comparing the mean square frequency error, it is verified that the Quinn-PMF-FFT algorithm can avoid the error of interpolation direction in high dynamic environment, and has higher search efficiency and estimation accuracy.