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GPS模糊度逆整乔列斯基降相关算法的改进 被引量:2

A Modified Inverse Integer Cholesky Algorithm for GPS Ambiguity Decorrelation
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摘要 在详细阐述逆整乔列斯基算法的基础上,提出以最小谱条件数为终止迭代过程的准则,通过对方差-协方差阵的对角线元素进行升序调整来改进逆整乔列斯基算法。以谱条件数和相关系数为评判准则,对逆整乔列斯基算法和改进的逆整乔列斯基算法进行仿真比较和分析,结果表明,改进的逆整乔列斯基算法能更大幅度地降低模糊度向量间的相关性,减小方差-协方差阵的谱条件数。 Based on illustrating the principle of inverse integer Cholesky algorithm,a modified algorithm which adopted the minimum condition number as a rule to terminate iteration and exchanged the diagonal entries of variance-covariance matrix with sort ascending was presented.The two algorithms were compared by numerical simulation with the rules of condition number and mean correlation coefficient.The results showed a more decline of condition number and correlation coefficient could be obtained with the modified algorithm.
作者 郭凯 杨剑
出处 《海洋测绘》 2010年第4期12-15,共4页 Hydrographic Surveying and Charting
关键词 全球定位系统 模糊度 降相关 逆整乔列斯基算法 GPS ambiguity decorrelation inverse integer Cholesky decorrelation
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参考文献11

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共引文献25

同被引文献26

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