Research on GNSS Positioning Aided by SVR
In order to solve the problem of the influence of the surrounding environment on GNSS signal leads to the loss of GNSS measurement. Introducing the least squares support vector regression LS-SVR and the monotonicity of geological short-term subsidence deformation, the model of LS-SVR assisted GNSS positioning is established. To explain the model, a GNSS settlement monitoring experiment was adopted. Example analysis shows when GNSS monitoring points are seriously affected by the surrounding area, the LS-GNSS model can obtain more stable positioning results. It eliminates the serious positioning error under the GNSS unlock, achieves the positioning ability under the ideal environment, expands the use range of the GNSS positioning, and improves the positioning accuracy of the GNSS.
KeywordsMeasurement Monitor SVR GNSS
This study is supported by Gansu science and Technology Department (17YF1FA122); Lanzhou Science and Technology Bureau (2018-1-51); School youth fund of Lanzhou Jiaotong University (2015008).
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