Abstract:Multipath error is the main factor affecting the measurement accuracy of GNSS and the difficulty of error correction. Combining the advantages of empirical wavelet transform(EWT) algorithm in the decomposition of complex signals with the daily repetition characteristics of GNSS multipath error, we propose a new method of multipath error extraction and correction based on EWT. The screening coefficient is defined by combining the energy entropy with the correlation coefficient, and the points with significant changes are taken as the dividing points of the noisy components and the information components. A new denoising method based on EWT is established by denoising the noisy components and reconstructing the information components. Through the analysis of simulation and experiment data, it is shown that EWT can extract and correct the GNSS multipath error better than EMD and wavelet method.