GNSS-RTK多路径噪声抑制组合方法OA

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.