摘要
根据光纤陀螺的特点,利用LMS算法的最小均方准则及其快速性和稳定性的特点,对光纤陀螺原始数据进行滤波处理,并对滤波前和滤波后的效果进行比较.结果表明:通过LMS自适应滤波算法在很大程度上降低了光纤陀螺原始数据存在的常值漂移和随机噪声.
Based on the characteristics of optical fiber top, this paper uses the smallest mean square criterion and the characteristics of rapidity and the stability of the LMS algorithm, this paper carries on filter processing to the optical fiber gyroscope filtration. Results indicate that the constant primary data and compares the effects before and after the drifting gyroscope primary data are reduced through the LMS and the stochastic noise existing in optical fiber adaptive filtering algorithm to a very great degree.
出处
《重庆工学院学报（自然科学版）》
2009年第10期130-134,共5页
Journal of Chongqing Institute of Technology
