A high-efficiency iteration algorithm for carrier frequency estimation based on spectrum analysis

This paper presents a high-efficiency blind carrier frequency estimation algorithm. The proposed algorithm is based on the power spectrum symmetry of the modulation signal, utilizes the moving averaged power spectrum to iteratively identify the carrier frequency in according to the power difference between the upper sideband and lower sideband, which is defined and revised by the estimated carrier frequency at each iteration. When the power difference of the two sidebands converges to the preseted threshold, the carrier frequency can be achieved. Compared to previous works, owing to the moving averaged power spectrum normalization, the carrier frequency estimation accuracy and speed can be significantly improved without increasing the computational effort. Experimental results are included to demonstrate the outstanding performance of the proposed algorithm.