Study on the FOG's signal based on wavelet
Study on the FOG's signal based on wavelet
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DOI：
10.1117/12.716743
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
Jiqiang Tang;J. Fang;Yan-shun Zhang
中科院分区：
文献类型：
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作者：
Jiqiang Tang;J. Fang;Yan-shun Zhang
为了研究基于小波的光纤陀螺信号，研究了光纤陀螺信号的漂移模型和小波分析噪声的特性，介绍了小波滤波方法、小波基的选择、软硬阈值去噪算法和基于Haar小波的强制滤波。本文还给出了在同一小波基db4上采用相同Donoho阈值的软阈值和硬阈值的阈值滤波结果以及Haar小波和db4小波的强制滤波结果，并在此基础上得出了以下主要结论：分辨率越大，滤波效果越好。在阈值相同的情况下，以计算量为代价，软阈值滤波效果优于硬阈值滤波。对于这几种滤波方法，当小波和分辨率相同时，强制滤波的零点漂移最小。对于相同小波基的强制滤波，Harr滤波效果优于db4滤波，且前者计算量小。最后指出采用Harr小波基和合适的分辨率进行强制滤波对光纤陀螺信号进行处理，对光纤陀螺的设计和制造具有一定的指导意义。
In order to study on the fiber optical gyro (abbreviated as FOG) signal based on wavelet, this paper researches the FOG signal drift model and the properties of wavelet analyzed noise, introduces the wavelet filtering method, wavelet base selection, soft and hard threshold value de-noising algorithm and compulsive filtering based on The Haar wavelet. These threshold value filtering results of both of the soft and of the hard threshold value for the same wavelet base of db4 with the same Donoho threshold values and these results of compulsive filtering based on The Haar wavelet and db4 wavelet are presented also in this paper and then these main conclusions based on foregoing analysis are reached: Larger the resolving scale is, the filtering effect is more perfect. The soft threshold value filtering effect is better than that of the hard threshold value filtering at the cost of calculation when the threshold value is same. The zero shift of the compulsive filtering is least when both the wavelet and the resolving scale are same for these filtering methods. For the compulsive filtering with same wavelets, the filtering effect of Harr is better than that of db4 and the calculation of the former is fewer. Finally the author point out that applying the compulsive filtering with the Harr wavelet base and suitable resolving scale to the signal processing of FOG be helpful for the FOG's design and manufacturing.