For the work of calibration and data retrieval of the wind field measuring Fabry-Perot interferometer,a method of nonlinear regression fitting combined with transfer function model was researched.First of all,the instrument transfer function and air-glow response model were established with a modified Airy function.Secondly,ground calibration was done to the Fabry-Perot interferometer system with a frequency-stabilized laser and the calibration data was collected.Nonlinear regression fitting step by step was applied to the processing of the calibration data to get parameters of the instrument transfer function.Finally,the wind and temperature of the simulated air-glow fringe,with different signal noise ratio,wind and temperature input,were estimated with the calibrated instrument transfer function model.The results show that the wind and temperature retrieval accuracy can excel 5 m/s and 10 K respectively for data with signal noise ratio better than 40.