微机电陀螺数据融合中小波基的选择

Wavelet Base Selection for Data Fusion of Micro Electro Mechanical System

  • 摘要: 基于小波域的多尺度数据分析,考虑微机电陀螺仪中不同类型的噪声,通过小波多尺度熵对噪声的分析,为数据融合选择了合适的小波基.从统计学的角度出发,进行实验研究,结果主要用小波熵说明了本方法的优越性,同时用概率分布验证了利用最优小波基进行的多尺度数据融合的正确性,解决了多尺度多传感器数据融合方案在工程中的技术难题.

     

    Abstract: Based on multi-scale data analysis in wavelet domain,different types of noises for MEMS(mirco eletro mechanical system) gyroscopes are considered.Through the noise and analysis based on wavelet multi-scale entropy,the appropriate wavelet is selected for data fusion.The experiment study is carried out from the statistical point,and the superiority of this approach is proved mainly by wavelet entropy.At the same time,the correctness of multi-scale data fusion of the optimal wavelet basis is verified with the probability distribution,and the technology problems in engineering for the multi-scale sensor data fusion approach are solved.

     

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