利用LAMBDA方法进行多维载波相位模糊度转换

为解决GPS载波相位整周模糊度结算的问题，Teunissen提出了最小均方模糊度解相关调整算法(LAMBDA)。本文基于这一算法，对于多维模糊度转换矩阵进行了构建。转换后的矩阵可以直接利用多维高斯变换，而不用将两维的高斯变化多次使用。最后，通过一个例子对所提出的方法进行了验证。

High Demensional Carrier Phase Ambigutity Guass-transformation Based on Least-square Ambiguity Decorrelation Adjustment

The Least-squares ambiguity decorrelation adjustment(LAMBDA) method was introduced by Teunissen for solving GPS carrier integer ambiguity estimation problem.In this paper, a method is developed for constructing ambiguity transformation matrices for high dimensional cases.The proposed method is able to construct an ambiguity transformation matrix directly using high dimensional Gauss-transformation instead of using two- dimensional Gauss-transformation repeatedly. The implementation aspects of the method are also discussed along with a numerical example to validate the proposed method.