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A frequency estimation algorithm for PSK-modulated carrier signal based on iterative weighting

In this paper, we propose a frequency estimation algorithm for PSK-Modulated carrier signal based on iterative weighting. The existing frequency estimation algorithms based on phase difference are difficult to guarantee the estimation accuracy and estimation range at the same time. However, in the proposed algorithm, the estimation accuracy and estimation range are both guaranteed at the same time by iterative weighting (IW) which outperforms existing alternatives. In this paper, the Cramer-Rao Lower Bound (CRLB) of PSK-modulated carrier signal and the weighting factors are given. The estimation performance is simulated under the Additive White Gaussian Noise (AWGN) channel. The results show that the Root Mean Square Error (RMSE) performance of the proposed algorithm is close to the CRLB in the whole frequency range and the computation complexity is low.