利用LAMBDA方法进行多维载波相位模糊度转换  

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

作　　者：杨川[1] 王永生[1] 史利剑[1] 

机构地区：[1]西北工业大学,陕西西安710072

出　　处：《电讯技术》2004年第5期137-139,共3页Telecommunication Engineering

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。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.

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 

分 类 号：TN929[电子电信—通信与信息系统] P228.4[电子电信—信息与通信工程]