基于几何相关的GPS观测量随机误差模型的研究

Research on GPS geometry-based observational stochastic error model

针对传统方法考虑随机误差影响因素不够全面的问题,建立了一种更加真实的GPS观测量随机误差模型。该方法在几何相关功能模型中引入了误差修正项,采用了一种以空间换时间的改进LS-VCE算法对模型进行求解,采集了2组真实的GPS实测数据对模型进行性能评估,并利用该模型解算了载波相位整周模糊度。实验结果表明,所提方法在模型精度、模型求解复杂度及整周相位模糊度解算成功率等方面均优于传统方法。

Aiming at the problem of not enough influencing factors were considered in traditional methods, a much more realistic stochastic model was built. In which error corrections were introduced into the geometry-based function model, an improved least squares variance component estimation(LS-VCE) algorithm with space-for-time was used to solve the model, two sets of real GPS data were collected to evaluate the performance of the model, and with which the carrier phase integer ambiguity was solved. The experimental results show that the proposed methods are superior to the traditional methods in terms of model accuracy, model solution complexity and integer ambiguity resolution.