一种基于排序和乔列斯基分解的模糊度降相关方法  

An Approach for GPS Ambiguity Decorrelation Using Ordering and Cholesky Factorization

作　　者：常志巧[1] 郝金明[1] 陈刘成 穆冬[3] 

机构地区：[1]信息工程大学测绘学院 [2]61081部队 [3]北京航天飞行控制中心

出　　处：《测绘科学技术学报》2009年第6期410-413,共4页Journal of Geomatics Science and Technology

基　　金：信息工程大学博士研究生学位论文创新基金资助项目;地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(06-0708-01-07)

摘　　要：通过分析目前存在的逆整数乔列斯基降相关方法白化变换、基于排序和下三角乔列斯基分解的降相关方法的特点,提出了一种新的模糊度降相关方法。该方法是基于协方差矩阵对角线元素降序排列和上三角乔列斯基分解来达到模糊度降相关的目的。通过实测数据的降相关计算得到:新方法与白化变换相比降相关效果相当,但新方法的效率较高;新方法与基于排序和下三角乔列斯基分解的降相关方法相比降相关效果和效率都相当。A new method for GPS ambiguity deeorrelation was proposed by analyzing two methods of Inverse integer Cholesky decorrelation method -- whitening filter algorithm and a method based on ordering process and low-triangle Cholesky factorization. The new method was based on ordering process and upper-triangle Cholesky factorization. The performances of the new method and the other two methods were compared by using real data. The results showed that the new method and whitening filter algorithm had almost the same effect on decorrelation process, but the former was faster than the later; the new method and the method based on low-triangle Cholesky factorization had almost the same effect and speed on decorrelation process.

关 键 词：全球定位系统 模糊度降相关 乔列斯基分解 排序 模糊度求解 

分 类 号：P228[天文地球—大地测量学与测量工程]