基于小波变换的非平稳信号趋势项剔除方法  

Removal of Trend from Non-Stationary Signal Based on Wavelet Transformation

作　　者：朱学锋[1] 韩宁[1] 

机构地区：[1]92941部队,辽宁葫芦岛125001

出　　处：《飞行器测控学报》2006年第5期81-85,共5页Journal of Spacecraft TT&C Technology

摘　　要：分析了空间飞行器遥测信号处理传统趋势项剔除方法的优势和不足,提出了基于小波变换的非平稳信号趋势项剔除方法.这种方法通过滤波器组将信号分解与重构,实现趋向性信号与零均值平稳随机信号的分离.仿真实验表明,该方法简单、高效,适用于非平稳随机信号的处理,是一种实用的趋势项剔除方法.This paper analyzes the superiorities and shortcomings of traditional trend-removal methods and puts forward a method based on wavelet transformation to remove the trend of non-statlonary signals. Based on decomposition and reconstruction of the signals by fiher sets, the trend-signal is separated from stationary stochastic signals. Experiment results show that the method can be applied easily and efficiently to deal with non-stationary stochastic signals and remove trend signal.

关 键 词：趋势项 小波变换 非平稳随机信号 自回归综合滑动平均(ARIMA)模型 

分 类 号：V557[航空宇航科学与技术—人机与环境工程]