在基于快速傅里叶变换的光纤法布里-珀罗传感器解调方法的理论分析基础上,引入了离散频谱能量重心校正方法,改进了FFT算法。仿真结果表明该联合算法解调值与真实值一致性较好。并通过实验加载0~10 Mpa的油压,对压力和解调得到的传感器腔长数据进行拟合,并将拟合得到的曲线与参考值比较,相对误差为0.003%。实验结果表明,FFT与能量重心联合解调方法可以得到较高的精度。 Based on the theoretical analysis of the fiber Fabry-Perot sensor demodulation method based on Fast Fourier Transform, the method of correcting the center of gravity of discrete spectrum energy is introduced and the FFT algorithm is improved. The simulation results show that the demodulation value of the joint algorithm is in good agreement with the real value. The pressure of the sensor and the demodulated sensor cavity length data were fitted by experimentally loading the hydraulic pressure of 0 ~ 10 Mpa, and the curve obtained by the fitting was compared with the reference value with a relative error of 0.003%. Experimental results show that FFT and energy centroid joint demodulation method can get higher accuracy.