Abstract: In order to solve the influence of the fence effect on the frequency estimation accuracy and improve the frequency estimation accuracy and anti-noise performance, a high-precision frequency estimation algorithm based on Chrip-Z Transformation (CZT) is proposed. The process of frequency estimation is divided into two processes, coarse estimation and fine estimation. The FFT algorithm is applied to analyze the signal in the frequency domain to obtain the rough estimation value of the signal frequency. Based on the rough estimation value of the signal frequency, the frequency refinement interval is determined. The frequency spectrum in this interval is refined, the frequency estimation value is corrected by using the amplitude of the maximum spectral line of the refined spectrum and its left and right spectral lines to obtain the accurate frequency estimation value. Simulations show that the proposed algorithm can obtain high-precision frequency estimates with a lower number of refinement points, and has better anti-noise performance. The range measurement experiment using FMCW radar verifies that the practical application effect of the proposed algorithms is better than the existing algorithm.