摘要
为了提高北斗监测的精度水平,减小北斗系统的监测误差,实现远距离桥梁位移的厘米级实时监测,本文提出一种快速准确确定载波相位信号全周模糊度的方法,利用LAMBDA算法分析北斗系统的模糊度,检测并修复可能出现的周跳现象,提出改进TurboEdit方法,提高北斗系统的测量精度。结果表明,在单点精确定位结果的收敛曲线中,每个站在U方向的误差值大于其他2个方向的误差值,但在总体变化趋势中,U方向的误差值呈下降趋势。E和N方向上的误差值随时间波动,总体误差值持续下降。就收敛时间而言,每个数据组基本上可以在2 h内收敛,大多数站点的误差值在10 cm以内,E方向上的平均位置误差值为0.04 m,N方向的平均位置误差值为0.08 m,U方向的平均位置误差值为0.08 m。北斗精密单点定位技术可以实现厘米级误差测量,基本满足大跨度桥梁变形远程监测的要求。
In order to improve the accuracy level of Beidou monitoring,reduce the measurement error of Beidou system,and realize centimeter level real-time monitoring of long-distance bridge displacement,a fast and accurate method to determine the full cycle ambiguity of carrier phase signal is proposed in this paper.LAMBDA algorithm is used to analyze the ambiguity of Beidou system,detect and repair the cycle skip phenomenon,and improve the Turbodite method to improve the measurement accuracy.The results show that the error values of each station in the direction of U are larger than those of the other two directions in the convergence curve of the single point precise positioning results,but the error values in direction U go downward in the overall trend.The error values in E and N directions fluctuate over time,and the overall error continues to decrease.In terms of convergence time,each data set can basically converge within 2 hours,and the error value of most stations is within 10 cm.The average position error of direction E,direction N and direction U is 0.04 m,0.08 m,and 0.08 m respectively.It is concluded that Beidou precision single point positioning technology can achieve centimeter-level error measurement and basically meet the requirements of remote monitoring of bridge deformation.
作者
包龙生
陶天阳
于玲
冯乃辉
BAO Long-sheng;TAO Tian-yang;YU Ling;FENG Nai-hui(School of Traffic Engineering,Shenyang Jianzhu University,Shenyang 110168,China;Anshan City Construction and Development Center,Anshan 114002,China)
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2022年第2期311-319,共9页
Journal of Guangxi University（Natural Science Edition）
基金
国家“十三五”重点研发计划重点专项基金项目(2018YFC0809600,2018YFC0809606)
辽宁省重点研发计划指导计划基金项目(2018416028)
沈阳市建委城乡系统科研项目(201904)。
