基于CEEMDAN联合小波的GNSS边坡监测多路径误差处理研究
Research on Multipath Error Processing of GNSS Slope Monitoring Based on CEEMDAN Combined Wavelet
关志宇 1钟秋文 2韦晚秋 1兰猗令 1金相任1
作者信息
- 1. 广西现代职业技术学院,广西 河池 547000
- 2. 广西天翔工程管理有限公司,广西 河池 547000
- 折叠
摘要
针对全球导航卫星系统在边坡环境下出现的多路径误差问题,提出了一种基于CEEMDAN分解联合小波滤波后重构的多路径误差处理算法,通过CEEMDAN分解和小波滤波处理原始信号,有效减弱多路径误差对定位精度的影响.分别采取数值仿真和实测数据来验证算法的有效性,实验结果表明,对GNSS边坡实测数据处理后,对第二天观测值进行多路径剔除,剔除后的坐标精度明显提高,特别是在E方向的精度改善明显,验证了该算法在GNSS边坡环境下的有效性,能够有效提高定位精度.
Abstract
In addressing the problems of multipath errors within the Global Navigation Satellite System(GNSS)under slope conditions,we propose a reconstructed multipath error processing algorithm based on the integration of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)and wavelet filtering.By decomposing the original signal using CEEMDAN and applying wavelet filtering,the algorithm effectively mitigates the impact of multipath error on positioning accuracy.The efficacy of the algorithm is verified through both numerical simulation and measured data.Experimental results indicate that,after processing the measured GNSS slope data,the coordinate accuracy after multipath removal of the second-day observations is significantly improved.Particularly,a significant improvement is observed in the East(E)direction accuracy.This validates the algorithm's effectiveness in GNSS slope environment,demonstrating its capability to enhance positioning accuracy effectively.
关键词
GNSS/多路径误差/边坡监测/CEEMDAN/小波Key words
GNSS/multipath error/slope monitoring/CEEMDAN/wavelet transform引用本文复制引用
基金项目
广西高校中青年教师科研基础能力提升项目(2024)(2024KY1488)
广西壮族自治区高等学校中青年教师基础能力提升项目(2023)(2023KY1466)
出版年
2024
国家科技期刊平台
NSTL
万方数据