GPS降相关算法的比较研究  

Comparative Study of Decorrelation Algorithms for GPS Ambiguity Solution

作　　者：夏传甲[1] 徐辉[1] 

机构地区：[1]中南电力设计院,湖北武汉430071

出　　处：《全球定位系统》2012年第5期66-70,共5页Gnss World of China

摘　　要：利用矩阵分解理论分别对整数高斯法、联合去相关法、基于矩阵乔里斯基分解的迭代法、逆整数乔里斯基法和LLL法等降相关算法进行了分类和比较。仿真计算表明:逆整数乔里斯基分解法优于联合去相关法,联合去相关法优于LLL法。The decorrelation algorithms of integer gaussian, united ambiguity, the itera tion,inverse integer Cholesky and LLL（Lenstra, Lenstra and Lovisz algorithm） are classi fied and compared respectively based on the matrix decomposition. The simulation result shows that the inverse integer Cholesky decorrelation method is better than the united ambi guity decorrelation, and they are superior to LLL method.

关 键 词：矩阵分解 降相关 逆整数乔里斯基算法 

分 类 号：P228.4[天文地球—大地测量学与测量工程]