部分模糊度固定的多基线解算方法

采用非差观测值构建误差方程，通过等价变换消除卫星钟差参数和接收机钟差参数，建立多个测站的联合等价双差观测方程。针对联合方程等价模糊度个数较多、相关性较强的特点，本文提出一种新的部分模糊度固定（PAR）方法。该方法将等价模糊度按照方差大小升序排列，通过循环剔除最大方差模糊度并进行Ratio检验，最终实现部分模糊度的固定。实例计算表明，相比完全模糊度固定（FAR）方法，PAR方法不仅具有更高的模糊度固定率和成功率，且提高了多基线精密定位的可用性，其坐标解算精度与FAR具有较好的一致性。

The Multi-Baseline Solution Based on Partial Ambiguity Fixing

Error equations are established using un-differenced observables and the equivalent double-differenced observation equations of multiple different stations are derived from the equivalent transformation theory. Meanwhile, the satellite and receiver’s clock biases are both eliminated. According to more numbers and stronger correlation of the equivalent ambiguity in multi-baseline solution, we propose a partial ambiguity resolution (PAR) method, in which all equivalent ambiguity is first sorted in ascending order. Subsequently, the maximum variance ambiguity is eliminated in an iterative process, while the ratio test is used to find a subset of equivalent ambiguity, which can be fixed. We validate this method using data from 5 IGS stations. The results show that, PAR presented in this paper not only can improve the fixed rate and success rate of ambiguity resolution, but also can greatly improve the availability of the multi-baseline solution, and the coordinate accuracy of PAR has considerable consistency in that of FAR.