| GPS降相关算法的比较研究 |
| |
| 引用本文： | 夏传甲,徐辉.GPS降相关算法的比较研究[J].全球定位系统,2012,37(5):66-70. |
| |
| 作者姓名： | 夏传甲 徐辉 |
| |
| 作者单位： | 中南电力设计院,湖北武汉,430071 |
| |
| 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。
|
| 关 键 词： | 矩阵分解 降相关 逆整数乔里斯基算法 |
Comparative Study of Decorrelation Algorithms for GPS Ambiguity Solution |
| |
| XIA Chuanjia,XU Hui.Comparative Study of Decorrelation Algorithms for GPS Ambiguity Solution[J].Gnss World of China,2012,37(5):66-70. |
| |
| Authors: | XIA Chuanjia XU Hui |
| |
| Institution: | (Central South Power Design Institute, Wuhan Hubei 430071, China) |
| |
| Abstract: | 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. |
| |
| Keywords: | The matrix decomposition the decorrelatlon algorithms the reverse integerCholesky decorrelation |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
