基于小波包分析的激光陀螺信号滤波方法  

Denoising method for signal of the laser gyro based on wavelet packet analysis

作　　者：彭云辉[1] 刘云峰[1] 杨小冈[1] 侯青剑[1] 缪栋[1] 

机构地区：[1]第二炮兵工程学院303教研室,陕西西安710025

出　　处：《红外与激光工程》2007年第6期823-826,共4页Infrared and Laser Engineering

基　　金：总装备部十一五预研项目

摘　　要：各种随机噪声是激光陀螺误差的主要来源。为了减少激光陀螺的随机误差,提高其测量精度,介绍了基于小波包分析的滤波方法,研究了小波包分析和滤波的原理、熵标准和阈值函数的选取,比较了选择不同熵标准、阈值函数对激光陀螺信号滤波的效果,并采用Allan方差法分析滤波效果。结果表明基于小波包分析的滤波方法能有效减小随机误差,提高激光陀螺的测量精度。The various random noises are the main sources of laser gyro error. To decrease the random error and improve the measuring precision of laser gyro, a denoising method based on wavelet packet analysis is presented. The theories of wavelet packet analysis and filtering, the select rules of entropy standard and threshold function are studied.The filtering effects of laser gyro are compared with different choices of entropy standard and threshold function, and the filtering results are quantitatively analyzed using Allan variance. The result shows that the filtering algorithm based on wavelet packet analysis can decrease the random error and improve the measuring precision of laser gyro effectively.

关 键 词：激光陀螺 小波包 ALLAN方差 阈值函数 熵标准 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]