| the updata of GPS, reconstructed of GLONASS, rapid development of BDS, multisystems integration for GNSS technology has become an inevitable trend. Multisystem intergration usable the number of satalite greatly increased, geometry struction strengthen, which made it could use in detrimental area. However, the multipath error is still the most important factor that influencing the precision of GNSS deformation monitoring in short distance baseline. So, an effective multipath error model is very importance for impoving the precision.Reaserch on taking advantage of filting technology for multipath error modelling and estimating.Through the BBS point, getting the multipath error from the souce of data. The main result of this paper and the specific contents are as follows:(1) Proposed a novel EMD-Wavelet-ICA coupled model,The model has better information extracting due to a more detailed analysis for singal. Through the simulate data, the result show that, comparion with EMD, EMD-ICA, EMD-Wavelet-ICA has the best singal extraction.Through the measured GNSS data, using EMD-Wavelet-ICA coupled model to get the multipath error model of GPS, GLONASS, BDS, GPS/GLONASS/BDS. The results showed that compared with EMD, EMD-ICA, the new model established more accurate multipath error model.(2) Based on the already multipath error model, using the diurnals repeating of multipath error. The results showed that compared with EMD, EMD-ICA, EMD-Wavelet-ICA have better multipath error eatimating for adjacent diurnals.(3) A new blind source separation algorithm based on generalized eigen decomposition was proposed. Through the simulation data, the results show that the generalized eigen-decomposition method has better effect than the MAX-SNR and ICA methods. Then, join the GPS multipath error into the simulation data. The decomposition results show that the algorithm have a better effect in multipath error separation. So, it has a great significance to the GNSS deformation monitoring. |
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