作　　者： (李开伟）; (汪仁银）; (陈锐）; (韩立）;

机构地区： 四川水利职业技术学院,四川成都610000

出　　处： 《全球定位系统》 2017年第4期106-110,共5页

摘　　要： 采用GPS进行高层建筑物实时动态观测被认为是有效的方法,如何处理海量GPS振动观测数据是一个重要的问题。本文根据GPS振动观测数据特点,将小波分析技术应用于GPS振动观测数据处理,研究了不同小波基、分解尺度、阈值选择对观测数据去噪的影响,获得了有益的结论。 Using GPS to high-rise building real-time dynamic observation is considered to be effective,how to deal with massive amounts of GPS observation data vibration is an important issue.In order to improve the automation of process GPS data,based on GPS observation data vibration characteristics,wavelet analysis technology was applied to the GPS observation data processing in this paper.The impact of different wavelet decomposition scales and wavelet bases and threshold criterion to GPS observation data de-noising are studied based on extracting the dynamic change trend in high-rise buildings,beneficial conclusions are obtained.

关 键 词： 小波分析 高层建筑物 数据处理 小波基 分解尺度