多种环境下GNSS-RTK监测噪声特性分析  

Analysis of noise characteristics of GNSS-RTK monitoring in various environments

作　　者：陈刚 于丽娜 CHEN Gang;YU Lina(Technical Inspection Co.,Ltd.,CNOOC,Tianjin 300452,China;School of Civil Engineering,Tianjin University,Tianjin 300350,China)

机构地区：[1]中海石油技术检测有限公司,天津300452 [2]天津大学建筑工程学院,天津300350

出　　处：《导航定位学报》2021年第3期92-97,共6页Journal of Navigation and Positioning

摘　　要：为了获取实时动态差分模式下全球卫星导航系统(GNSS)实时动态差分(RTK)在不同环境下监测的噪声特性,提出一种改进的自适应噪声完备集合经验模态分解(CEEMDAN)算法分离噪声:首先采用CEEMDAN进行信号分解,然后以有效系数和相关系数相结合的筛分标准,选择和重构固有模式函数(IMF)分量;通过仿真信号验证改进算法的可靠性;然后对GNSS-RTK实测信号进行噪声分解,并进一步分析不同环境下噪声分量的时频特性。研究结果表明:在一般环境下,GNSS-RTK监测多路径误差主要集中在0.05 Hz范围内,基于改进CEEMDAN算法能够有效分离GNSS-RTK多路径误差和仪器白噪声。To analyze the monitored noise characteristics by Global Navigation Satellite System(GNSS)Real Time Kinematic(RTK)in different environments,an improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)algorithm was proposed to decompose the noise components:At first,CEEMDAN was used for signal decomposition,next the effective coefficient and correlation coefficient were employed as the thresholds to sift the Intrinsic Mode Function(IMF)components.The reliability of improved CEEMDAN algorithm was verified by simulation signal.Then,the algorithm was used for noise decomposition of GNSS-RTK measured signals.In addition,the characteristics of noise components in different environments were analyzed.The results show that the multipath error of GNSS-RTK is mainly within 0.05 Hz in general environments,and the improved CEEMDAN algorithm can effectively separate the multipath error and instrument white noise of GNSS-RTK.

关 键 词：全球卫星导航系统 实时动态差分 多种环境监测 噪声特性 改进的自适应噪声完备集合经验模态分解 

分 类 号：P228[天文地球—大地测量学与测量工程]