In order to solve the problems of sea clutter modeling such as simplicity, low fidelity, and lack of pertinence, a sea clutter modeling method based on measured data is proposed. Based on the analysis of the classical sea clutter statistical model, the seeker is used to collect the measured data under different sea conditions, and the simulation clutter data are generated by fitting test and parameter estimation and combined with SIRP method. The practical sea clutter model is obtained by modifying the classical statistical model. The simulation results show that this method has reference value for improving the fidelity and confidence of sea clutter model in radio frequency simulation system.