Research on GNSS-MR tide level monitoring based on EMD

doi:10.13474/j.cnki.11-2246.2020.0331

Abstract

Abstract: As a new method of remote sensing, GNSS-MR can detect the surface environment with multipath effect. This method has been applied to tidal level detection and has achieved good results. Aiming at the signal mixing problem of this method, this paper proposes to use empirical mode decomposition to extract the seawater signal of the signal-to-noise ratio to avoid the influence of noise signal and coastal reflection signal. Taking the SC02 station, located in Friday Harbor, Washington, USA, as an example, the tidal level data obtained by inversion using EMD and traditional methods are compared and analyzed. The research results show that this method improves the RMSE of LSP results by 5.36% compared with the traditional methods, and proves that the method can be used to extract relatively pure signals of the sea surface and improve the inversion accuracy to a certain extent.

Key words: GNSS-MR, multipath effect, empirical mode decomposition, signal-to-noise ratio, tide variation

CLC Number:

P229

WANG Ruifang. Research on GNSS-MR tide level monitoring based on EMD[J]. Bulletin of Surveying and Mapping, 2020, 0(10): 114-117.

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