改进小波阈值法在MEMS陀螺随机误差分析中的应用

发布时间：2018-04-18 05:11

本文选题：随机误差 + MEMS陀螺　；参考：《中国测试》2017年11期

【摘要】：由于传统小波阈值去噪法在减小MEMS陀螺随机误差有很大的局限性,介绍一种改进阈值函数去噪法,通过调整阈值函数,克服传统方法的缺点和不足,从而减小MEMS陀螺随机误差,提高MEMS陀螺的精度。首先介绍传统阈值函数去噪法,然后基于传统阈值函数进行改进,提出一种新的阈值函数。采用改进后的方法对MEMS陀螺输出数据进行处理,并用Allan分析法比较传统方法与改进方法的效果。实验结果表明,角度随机游走(N)减少78.85%,零偏不稳定性(B)减小82.14%,角速率随机游走(R)减少92.53%,均值下降90.6%,均方差下降70%,信噪比增加26.43%,提高MEMS陀螺的精度。
[Abstract]:Because the traditional wavelet threshold denoising method has great limitation in reducing the random error of MEMS gyroscope, an improved threshold function de-noising method is introduced. By adjusting the threshold function, the shortcomings and shortcomings of the traditional method are overcome, and the random error of MEMS gyroscope is reduced.Improve the precision of MEMS gyroscope.Firstly, the traditional threshold function denoising method is introduced, and then based on the traditional threshold function, a new threshold function is proposed.The improved method is used to process the output data of MEMS gyroscope, and the effect of the traditional method and the improved method is compared with the Allan analysis method.The experimental results show that the angle random walk (N) decreases 78.85, the zero bias instability (B) decreases 82.14, the angular rate random walk (R) decreases 92.53, the mean decreases 90.6, the mean deviation decreases 70 and the SNR increases 26.43 and improves the precision of MEMS gyroscope.
【作者单位】：中北大学计算机与控制工程学院;江苏曙光光电有限公司;
【分类号】：TN96

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