压电振动陀螺仪实时小波滤波方法研究  

Study on Wavelet's Real-time Filter in Piezoelectric Gyroscope

作　　者：刘宇[1] 段耀宇[1] 曾燎燎[1] 胡少伟[1] 张小林[1] 贺涛[1] 

机构地区：[1]重庆邮电大学光纤通信重点实验室,重庆400065

出　　处：《压电与声光》2012年第1期33-36,共4页Piezoelectrics & Acoustooptics

基　　金：国家自然科学基金资助项目(No.10926072);重庆市科委自然科学基金资助项目(CSTG2007BB2448);重庆市教委科研基金资助项目(KJ110507)

摘　　要：针对压电振动陀螺仪在工程中应用的需求,对压电振动陀螺仪输出信号中的噪声特点进行了分析,提出一种由无限冲击响应数字低通滤波(IIR)和实时小波滤波相结合的实时滤波方法。该小波算法的正逆变换算法的空间复杂度从384降到360,半软阈值算法时间复杂度从4 096降到4 032。应用MATLAB7.1对实验数据和完整算法程序的仿真表明,该方法能实时有效地抑制陀螺仪噪声,提高其输出稳定性,且其完整的滤波算法程序的运行时间明显减少。According to the requirements of the engineering application,the noise characteristics of the output signals of piezoelectric gyroscope were analyzed in this paper.A real-time filtering method combined the IIR low-pass filtering and real-time wavelet filtering was proposed.The computing complexity of wavelet＇s direct and inverse transformation has been reduced from 384 to 360,and the complexity of half soft threshold has been reduced from 4 096 to 4 032.The simulation result of experiment data and fully-formed program of algorithm by using MATLAB 7.1 has been showed that this method can restrain the noise of gyroscope in real-time,and the time of fully-formed program of algorithm is obviously reduced while the gyroscope＇s output stability has been enhanced.

关 键 词：压电振动陀螺仪 噪声抑制 实时小波滤波 无限冲击响应数字低通滤波(IIR) 

分 类 号：TM22[一般工业技术—材料科学与工程] V241.5[电气工程—电工理论与新技术]