各种随机噪声是激光陀螺误差的主要来源。为了减少激光陀螺的随机误差,提高其测量精度,介绍了基于小波包分析的滤波方法,研究了小波包分析和滤波的原理、熵标准和阈值函数的选取,比较了选择不同熵标准、阈值函数对激光陀螺信号滤波的效果,并采用Allan方差法分析滤波效果。结果表明基于小波包分析的滤波方法能有效减小随机误差,提高激光陀螺的测量精度。 A variety of random noise is the main source of error of the laser gyro. In order to reduce the random error of the laser gyro and improve its measuring accuracy, a filtering method based on wavelet packet analysis is introduced. The principle of wavelet packet analysis and filtering, the selection of entropy criterion and threshold function are studied. The comparison of different entropy criterion, threshold function The effect of laser gyro signal filtering, and the use of Allan variance analysis filter effect. The results show that the filtering method based on wavelet packet analysis can effectively reduce the random error and improve the measurement accuracy of laser gyro.