小波分析的GPS数据去噪方法探讨

Discussion on GPS data de-noising method based on wavelet analysis

针对目前单历元实时解算精度不高的问题,根据GPS信号噪声特性和小波分析的基础原理,分析影响GPS定位精度的误差来源,并利用小波分析对GPS数据进行去噪处理,然后从原始数据中提取L1、L2载波,以削弱观测噪声和多路径噪声等偶然误差。通过一条基线观测数据分析不同分解层次、阈值和小波函数选取对GPS基线数据去噪性能的影响,在此基础上分析不同基线长度和观测时间的GPS小波去噪性能,得出适用于小波去噪的GPS数据范围,为小波去噪方法在单历元模型中的应用相关研究提供参考。

Aiming at the problem that the real-time calculation accuracy of single epoch is not good, according to the basic theory of wavelet analysis and GPS signal noise characteristics, the paper analyzed the error sources influencing GPS positioning accuracy, de-noised the GPS data using wavelet analysis, and extracted the L1, L2 carrier phase data, from original data, in order to weaken the accidental errors such as muhipath noise and observation noise. Moreover, a baseline observation data were used to analyze the impact of different decomposition levels, threshold selection methods and wavelet functions on the GPS baseline data de-noising performance, and the performance of GPS wavelet de-noising was researched with different lengths and different observation time, finally the GPS data scope of wavelet de-noising was concluded. The result could provide a reference for the related study on the application of wavelet de-noising method in single epoch model.