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GNSS-RTK多路径噪声抑制组合方法

董冬良 丁佳

北京测绘2026,Vol.40Issue(1):23-29,7.
北京测绘2026,Vol.40Issue(1):23-29,7.DOI:10.19580/j.cnki.1007-3000.2026.01.004

GNSS-RTK多路径噪声抑制组合方法

Combined method for GNSS-RTK multipath noise suppression

董冬良 1丁佳1

作者信息

  • 1. 浙江省测绘科学技术研究院,浙江 杭州 310030
  • 折叠

摘要

Abstract

In complex environmental conditions,the global navigation satellite system(GNSS)-real-time kinematic(RTK)technology faces the dual challenges of multipath effects and random noise.To address this issue,this paper proposed a com-bined noise suppression method based on adaptive complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),aimed at improving the noise suppression effect of baseline coordinate sequences.First,the CEEMDAN method was employed to decompose the original signal into multiple intrinsic mode functions(IMFs),and the signal was dis-tinguished into high-frequency and low-frequency components using the permutation entropy method.Then,for different fre-quency components,wavelet packet decomposition(WP)and singular spectrum analysis(SSA)methods were applied for denoising processing.Finally,the denoised signal was reconstructed to reduce multipath errors in the coordinate sequence.Experimental results demonstrate that compared with using CEEMDAN alone or the CEEMDAN-WP combination method,the sidereal day filtering model based on CEEMDAN-WP-SSA has significant advantages in random noise suppression and multipath error elimination.The positioning accuracy in the east(E),north(N),and up(U)directions have all been improved,respectively,fully validating the effectiveness and superiority of the proposed method.

关键词

全球导航卫星系统(GNSS)-实时动态差分定位(RTK)/多路径噪声/自适应完备集合经验模态分解/小波包分解/奇异谱分析

Key words

global navigation satellite system(GNSS)-real-time kinematic(RTK)/multipath noise(MN)/adaptive complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)/wavelet packet decomposition(WPD)/singular spectrum analysis(SSA)

分类

天文与地球科学

引用本文复制引用

董冬良,丁佳..GNSS-RTK多路径噪声抑制组合方法[J].北京测绘,2026,40(1):23-29,7.

基金项目

浙江省自然资源科技项目(2023-33) (2023-33)

北京测绘

1007-3000

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