针对光纤陀螺微振动信号具有较强的时频耦合,抗干扰性能差,检测性能不好的问题。提出一种新的光纤陀螺微振动信号检测算法。通过构建考虑噪声干扰的光纤陀螺微振动信号模型,采用分数阶Fourier变换对微弱振动信号进行时频分析和噪声分离,采用四阶累积量切片后置算子进行光纤陀螺微振动信号的谱峰搜索,实现信号的抗干扰检测。实验结果表明,采用该方法进行光纤陀螺微振动信号检测的准确概率较高,对噪声和旁瓣波束干扰的抑制能力较好。 Aiming at the problem that the micro-vibration signal of FOG has strong time-frequency coupling, poor anti-jamming performance and poor detection performance. A new detection algorithm of optical fiber gyroscope micro-vibration signal is proposed. By constructing the micro-vibration signal model of the fiber optic gyroscope considering the noise interference, the fractional Fourier transform is used to do the time-frequency analysis and noise separation on the weak vibration signal. The fourth-order cumulant slicing operator is used to search the peak of the micro-vibration signal of the fiber optic gyroscope , To achieve anti-jamming signal detection. The experimental results show that the proposed method can detect the micro-vibration signal of FOG more accurately and has better ability of suppressing noise and side-lobe beam interference.