Abstract: This paper analyzes the bias of a Doppler shift estimator based on adaptive autocorrelation function (ACF) computations and proposes a process for reduction the bias of estimation at high speed movements. Furthermore, a signal-to-noise ratio (SNR) estimator is proposed according to the varying bias in the iterations, where the estimates of the Doppler shift in the first and the final stages of iteration are merged to construct a bias ratio related to the SNR. Simulations show the proposed algorithm achieves accurate estimation within a wide range of velocities and SNRs.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Amirhossein Fereidountabar, Gian Carlo Cardarilli, "Iterative Doppler Shift Estimation in Radio Propagation," WSEAS Transactions on Communications, vol. 14, pp. 477-482, 2015, DOI:
Amirhossein Fereidountabar, Gian Carlo Cardarilli. Iterative Doppler Shift Estimation in Radio Propagation.
WSEAS Transactions on Communications. 2015;14:477-482.