GPS Multipath Correction Algorithm Based on CEEMD-Wavelet-SavGol Model

doi:10.13474/j.cnki.11-2246.2017.0337

Abstract

Abstract: A new algorithm based on CEEMD-Wavelet-SavGol model was proposed in view of the problem that the EMD algorithm has the mode mixing effect and the Wavelet denoising has some limitations. In order to fully extract the useful information from the high-frequency component and low-frequency components, the proposed algorithm could decompose signal using complete empirical mode decomposition(CEEMD) to get a series of intrinsic mode functions(IMF) from high to low frequency. Then the scale could be distinguished according to the mean of standardized accumulated modes(MSAM). And then the low-frequency and high-frequency components were denoised by wavelet and SavGol filter. The denoised signal would be obtained after IMFs reconstruction. At last, the proposed model was applied to GPS multipath error extraction, and the validity of the new model was proved compared with Wavelet, EMD and CEEMD model.

Key words: CEEMD-Wavelet-SavGol, GPS, multipath, denoising

CLC Number:

P228

ZHAO Long, GAO Jingxiang, LI Zengke, WANG Jian. GPS Multipath Correction Algorithm Based on CEEMD-Wavelet-SavGol Model[J]. 测绘通报, 2017, 0(11): 1-5.

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