非均匀采样信号的滑动滤波方法  

A method of moving average filtering for non-uniformly sampled signals

作　　者：高玉凯[1] 郑双雁[1] 

机构地区：[1]大庆师范学院物理与电气信息工程学院,黑龙江大庆163712

出　　处：《电子技术应用》2010年第12期75-77,81,共4页Application of Electronic Technique

基　　金：黑龙江省普通高等学校青年学术骨干支持计划项目(1154G56);大庆师范学院博士科研启动项目(08ZB01)

摘　　要：针对实际采样过程中出现的采样非均匀性,提出了基于连续傅里叶变换的非均匀采样信号频谱分析方法和非均匀采样信号的滑动滤波方法。将非均匀采样信号描述为不均匀采样时刻冲激函数代数和的形式,利用连续傅里叶变换得到非均匀采样信号的频谱特性,根据不同采样间隔,得到非均匀采样信号的滑动滤波方法。通过MATLAB仿真软件验证了这种非均匀采样信号分析与处理方法的正确性,将这一研究成果应用到机械抖动激光陀螺输出信号处理中,与常规的平均滤波方法相比,激光陀螺的零偏误差减少了10.1%。This paper presents two new methods for the analysis and the process of non-uniformly sampled signals. During the process of practical sampling, the spectrum estimation from non-uniformly sampled signals is obtained by continuous Fourier trans-form. A method of moving average filtering for non-uniformly sampled signals is given. In the research, non-uniformly sampled signals is represented as the algebraic addition of impulse function. The spectrum character of non-uniformly sampled signals is gotten through unevenly sampling.The moving average filtering method for non-uniformly sampled signals is based on different sampling interval. The validity of this method has been verified by simulation experiments. This developed technique can be applied in the processing of laser gyroscope output signal and the laser gyro bias error is reduced by 10.1% compared with traditional average filter.

关 键 词：非均匀采样 滑动滤波 频谱分析 傅里叶分析 

分 类 号：TN911.7[电子电信—通信与信息系统]