基于LMS与二代小波变换的光纤陀螺去噪算法

发布时间：2018-01-29 22:03

本文关键词： LMS算法二代小波小波阈值信号去噪光纤陀螺　出处：《中国惯性技术学报》2014年06期 　论文类型：期刊论文

【摘要】：为了降低光纤陀螺输出中的噪声分量,提出一种基于最小均方法与二代小波变换相结合的去噪方法。首先利用LMS算法进行前端预处理,提高信号的信噪比;然后使用SGWT去噪算法降噪,考虑到SGWT去噪算法易受阈值函数的影响,将模糊与平滑因子引入到传统软阈值法,以缩小估计小波系数和原小波系数两者之间的常值偏差;最后,将本文提出的算法应用于某型光纤陀螺的去噪研究中。实验结果表明,相对于SGWT去噪算法,采用LMS-SGWT算法处理后,光纤陀螺的信噪比从0.1698d B提高到2.0521 d B,方位对准误差从0.33°降低到0.13°。
[Abstract]:In order to reduce the noise component in fiber optic gyroscope (fog) output, a new de-noising method based on minimum average method and second generation wavelet transform is proposed. Firstly, LMS algorithm is used to preprocess the front end to improve the signal-to-noise ratio (SNR) of the signal. Then the SGWT denoising algorithm is used to reduce the noise. Considering that the SGWT denoising algorithm is easy to be affected by the threshold function, fuzzy and smoothing factors are introduced into the traditional soft threshold method. In order to reduce the constant deviation between the estimated wavelet coefficients and the original wavelet coefficients; Finally, the proposed algorithm is applied to the research of a fiber optic gyroscope (fog) denoising. The experimental results show that compared with the SGWT denoising algorithm, the LMS-SGWT algorithm is used to deal with it. The SNR of fog is increased from 0.1698 dB to 2.0521 dB, and the azimuth alignment error is reduced from 0.33 掳to 0.13 掳.
【作者单位】：东南大学仪器科学与工程学院;东南大学微惯性仪表与先进导航技术教育部重点实验室;
【基金】：国家自然科学基金项目(51175082,60874092)
【分类号】：TN96
【正文快照】： 育部重点实验室,南京210096)陀螺是惯性导航设备中最重要的器件,用于测量载体的角速率。在各种类型的陀螺中,光纤陀螺因其具有成本低、精度高等优点,被广泛地应用于惯性导航系统[1]。光纤陀螺是根据Sagnac干涉原理进行工作,当陀螺绕其光纤环圈平面的垂线旋转时,在环圈中以相反

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