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应用科学学报 ›› 2010, Vol. 28 ›› Issue (4): 394-398.doi: 10.3969/j.issn.0255-8297.2010.04.011

• 信号与信息处理 • 上一篇    下一篇

多尺度小波分解融合在微机电陀螺数据处理中的应用

任亚飞， 柯熙政   

  1. 西安理工大学自动化与信息工程学院，西安710048
  • 收稿日期:2010-03-12 修回日期:2010-05-06 出版日期:2010-07-23 发布日期:2010-07-23
  • 作者简介:任亚飞，博士生，研究方向：信号处理、组合导航、信息融合，E-mail: doctor_liu@126.com；柯熙政，教授，博导，研究方向：无线激光通信、信号处理及导航，E-mail: xzke@xaut.edu.cn
  • 基金资助:

    国家自然科学基金(No.60977054)；国防重点实验室基金(No.9140C3601010701)；军队“863”创新计划基金(No.2008AAJ159)资助

Fusion of Multi-scale Wavelet Decomposition and Application to MEMS Gyroscope Data Processing

REN Ya-fei, KE Xi-zheng   

  1. The faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
  • Received:2010-03-12 Revised:2010-05-06 Online:2010-07-23 Published:2010-07-23

PDF

1392

被引次数

8

摘要：

 提出一种小波域数据融合模型. 将多个传感器的数据进行多尺度分解，分别对每个尺度上的细节信号和最粗尺度上的近似信号进行局部加权融合，并根据小波重构公式得到原尺度上的融合信号. 基于实际工程应用对该模型进行了数学证明，分析随机序列经离散小波多尺度变换后的形式，研究各尺度上的平滑信号、细节信号之间的统计特性，从理论上解释小波域多尺度数据融合算法的优越性. 实验表明：该方法能显著提高数据融合后微机电陀螺仪的零偏稳定性.

关键词: 离散小波变换, 多尺度分析, 数据融合, 微机电陀螺仪

Abstract:

 A wavelet-domain data fusion model is proposed. Data from a set of sensors are decomposed into multiple scales. The details of all scales and the approximation of the most coarse scale are fused with local weights, and the signal is reconstructed from the fused result. This model is confirmed with the mathematical theory based on practical application. Multi-scale wavelet transform of a random sequence is analyzed, and the statistical relations between the smooth signal and detail signal at various scales are studied. Superiority of the wavelet multi-scale data fusion algorithm is shown mathematically. Experimental results show that bias stability of MEMS gyroscope can be improved after data fusion.

Key words: discrete wavelet transform (DWT), multi-scale analysis, data fusion, micro-electromechanical system (MEMS) gyroscope

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