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针对传统滤波方法滤除激光陀螺随机噪声性能低的特点,提出了一种改进的空域相关滤波方法。该算法通过引入阈值系数概念,选取一个合适的阈值终止算法的迭代过程来去除残留的噪声信息。实验采用Allan方差法对滤波效果进行定量分析,结果表明基于改进的空域相关滤波方法能够减少迭代次数节约计算量,有效地减小随机误差,提高测量精度。
Aiming at the low performance of traditional filter method to filter out the random noise of laser gyro, an improved spatial correlation filtering method is proposed. By introducing the concept of threshold coefficient, the algorithm selects an appropriate iterative process of threshold termination algorithm to remove the residual noise information. Allan variance experiment is used to quantitatively analyze the filtering effect. The results show that the improved spatial correlation filtering method can reduce the computational complexity, reduce the random error effectively and improve the measuring accuracy.