介绍了利用Gram-Schmidt正交化算法构建独立向量集的原理,并利用关联矩阵和向量权的思想构建独立基线向量集和独立双差模糊度向量集,讨论了三种构建双差模糊度向量的特点,给出了选择独立基线和独立双差模糊度的正交化算法。通过一个全球GPS网定轨算例,给出了计算结果,验证了方法的有效性。
The principle of constructing independent vector sets using Gram-Schmidt orthogonal transformation is proposed.The method of setting independent baseline and independent double-difference ambiguity data sets refers to the idea of vertex incidence matrix and vector weight.The three ways to build double-difference ambiguity data sets are discussed.The computing process of selecting independent baselines and independent double-difference ambiguities is provided.An example of orbit determination using global GPS track nets is tested.The result shows that the orthogonal transform algorithm is effective.