Research on Multipath Error Processing of GNSS Slope Monitoring Based on CEEMDAN Combined Wavelet
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.
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