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为了对激光陀螺合光装配中的信号进行去噪处理,并有效抑制残差污染,提出了基于高斯滤波的稳健估计算法。根据合光装配中信号的特点,采用IGGIII和eHuber两种稳健高斯滤波方法与传统高斯滤波方法进行对比分析,并利用迭代算法进行求解,得到其残差占比、残差平均值、残差均方根、信噪比四个指标参数。实验结果表明,IGGIII稳健高斯滤波方法更能够提高高斯滤波的稳健性能,有效滤除了激光陀螺合光装配中信号的误差,使得滤波后的信号最接近真实信号,验证了稳健高斯滤波方法的有效性。
In order to denoise the signal in the laser gyro assembly and suppress the residual pollution effectively, a robust estimation algorithm based on Gaussian filter is proposed. According to the characteristics of the signal in the light assembly, two kinds of robust Gaussian filtering methods, IGGIII and eHuber, were compared with the traditional Gaussian filtering method and solved by the iterative algorithm. The residual proportion, residual mean and residual Square root, signal to noise ratio of four indicators parameters. The experimental results show that the IGGIII robust Gaussian filter method can improve the robustness of Gaussian filter and effectively filter out the error of the signal in the laser gyro combiner assembly, which makes the filtered signal the closest to the real signal, verifying the effectiveness of the robust Gaussian filter .