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。
A uni formation of all using the data f model is useful ted combined bias model based on nu-SVR is put forward, which uses the inbase stations in the network RTK. This model is used to train and predict by rom a network RTK which have six base stations. The result shows that this and efficient.