| 摘要: |
| 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。 |
| 关键词: LAMBDA方法 整周模糊度 载波相位 GPS 多维 解相关 转换矩阵 最小均方 算法 高斯 |
| DOI：10.3969/j.issn.1001-893X. |
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| 基金项目: |
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| High Demensional Carrier Phase Ambigutity Guass-transformation Based on Least-square Ambiguity Decorrelation Adjustment |
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| Abstract: |
| 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. |
| Key words: GPS,LAMBDA,Carrier phase,Integer ambiguity estimation,High dimensional Gauss-transformation |
