基于nu-SVR的网络RTK综合误差模型
A Combined Bias Model Based on nu-SVR for Network RTK
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摘要: 综合利用网络RTK中所有基准站的误差信息,在网络RTK系统的覆盖范围内,用支持向量机中的nu-SVR方法建立了一个统一的综合误差模型,并根据此综合误差模型直接改正流动站的实测数据。建模分析表明,采用该方法能获得较好的流动站定位结果。Abstract: A united combined bias model based on nu-SVR is put forward,which uses the information of all base stations in the network RTK.This model is used to train and predict by using the data from a network RTK which have six base stations.The result shows that this model is useful and efficient.
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