摘要
分析并建立了光纤陀螺温度漂移模型,指出数据噪声会降低甚至恶化模型的补偿效果。为减小噪声的影响,分别利用数字低通滤波和小波阈值消噪法对温度变化率数据进行降噪处理。经过仿真分析发现,与数字滤波相比,小波消噪法的降噪效果更好。多轮温度试验结果对比表明,利用小波阈值法对数据进行降噪,可提高光纤陀螺温度漂移的补偿效果。
The temperature-induced drift model for FOG is analyzed and estabiished. But data noise would weaken or deteriorate the effect of this compensation model. To solve this problem, digital low-pass filter and wavelet threshold-value denoising method are used respectively to reduce the data noise. It is found that the wavelet denoising method is more effective than that of the digital low-pass filter through the simulation and analysis. Comparison of the compensation results before and after denoising further verified the effectiveness of the wavelet thresholdvalue denoising method for improving the compensation effect of the temperature-induced drift model.
出处
《压电与声光》
CSCD
北大核心
2014年第5期768-771,共4页
Piezoelectrics & Acoustooptics
基金
总装十二五预研基金资助项目(51309030102)
关键词
光纤陀螺
温度漂移
数字低通滤波
小波阈值消噪
误差补偿
FOG
temperature-induced drift, digital low-pass filtering
wavelet threshold-value denoising
errorcompensation
