网络RTK模糊度解算与误差项提取方法研究

Research on Ambiguity Resolution and Error Extraction of Network RTK

提出了一种基于非组合模型的网络RTK参考站间模糊度解算和误差项提取方法。采用模型削弱对流层延迟影响,组成双差观测方程,利用Kalman滤波估计模糊度和电离层参数,固定模糊度后,进一步计算对流层参数。实测数据验证结果表明,该方法固定的双差模糊度是准确、可靠的。

A new method for ambiguity resolution and error-extraction of network RTK by using non-combination model is presented. The atmospheric error model is used to cripple its affect, then forms double difference observation equations to estimate ambiguity and ionospheric parameters by using kalman filter. Tropospheric parameters will be calculated when ambiguity is fixed. The experimental results show that the double difference ambiguity calculated by this method is accurate and reliable.