摘要
基于双频观测值的Melbourne-Wübbena组合和Geometry-free组合,提出了利用连续小波变换方法来探测GPS相位观测值中的周跳,论述了GPS精密单点定位中的周跳探测和连续小波变换方法探测周跳的算法,说明利用高斯函数的一阶求导小波变换对周跳的多尺度分解的敏感性,能够提高组合观测信号的信噪比,准确定出1周左右的周跳发生位置,从而可以提高利用非差观测值解算周跳和模糊度的效率,并给出具体算例验证了本方法的可行性和有效性。
A new approach for cycle-slips detection and location based on continuous wavelet transform is proposed. GIPSY software can detect and correct the outlier and the cycle-slips using the dual-frequence GPS data, but its dependability is worth doubting in estimating the small cycle slips. The signals are analyzed by wavelet that is the first derivative of Gaussian function, because the continuous wavelet transform （CWT） has the good character to diagnose the indiscoverable faults, the module maximum value points of signal containing noise have different trend respectively at different scales. It is showed that it can even find 0.5 or 1 cycle slip,so it can apparently improve efficiency of cycle-slips detection algorithm. An example is taken to prove the validness of the method.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2006年第6期512-515,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40574009)
中国科学院百人计划资助项目
关键词
精密单点定位
连续小波变换
周跳
precise point positioning
continuous wavelet transform
cycle slip
