3种GNSS模糊度降相关算法的时间效率对比分析  

Time Efficiency Comparison and Analysis of Three GNSS Ambiguity Decorrelation Algorithms

作　　者：苏明坤[1] 郑建生[2] 杨艳茜 方卫东[3] SUMingkun ZHENG Jiansheng YANG Yanxi FANG Weidong(Research Center of GNSS, Wuhan University, 129 Luoyu Road, Wuhan 430079, China School of Electronic Information, Wuhan University, Luojia Hill, Wuhan 430072, China Fujian Key Laboratory of AED, Fuiian University of Technology Xueyuan Road, Fuzhou 350108, China)

机构地区：[1]武汉大学GNSS研究中心,武汉市珞喻路129号430079 [2]武汉大学电子信息学院,武汉市珞珈山430072 [3]福建工程学院福建省汽车电子与电驱动技术重点实验室,福州市学园路3号350108

出　　处：《大地测量与地球动力学》2017年第11期1183-1186,1192,共5页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(61273053);福建省重大专题(2013HZ0002-1);福建省自然科学基金(2013J01215)~~

摘　　要：常用的降相关算法评价方法(包括条件数、降相关系数和候选值个数)都不能对降相关算法作全面评估,因此,基于算法的时间效率(包括降相关时间效率和搜索时间效率)对降相关算法作综合对比分析。利用仿真和实测数据对3种主流的降相关算法进行时间效率评价,实验表明,整数Gauss算法效率最好,双Cholesky算法次之,LLL-IGS效果最差。The decorrelation algorithm can reduce the correlation of the variance-covariance of the ambiguity,decrease the candidate numbers effectively,and further increase the effect of the search.The assessment measures contain condition numbers,decorrelation coefficients and candidate numbers.However,the condition number and decorrelation coefficient can only assess the performance of decorrelation and the candidate number merely assesses search efficiency.None of these can assess the decorrelation algorithm comprehensively.Hence,in this contribution,we adopt time efficiency to assess the decorrelation algorithms.Time efficiency includes decorrelation time efficiency and search time efficiency.Simulation and real GNSS data are used to compare and analyze the three decorrelation algorithms by time efficiency measure.In terms of time efficiency,the results of the experiment show that the integer Gauss algorithm performs best,the pair Cholesky performs slightly worse than Gauss,and LLL-IGS performs worst.

关 键 词：GNSS 降相关算法 时间效率 

分 类 号：P228[天文地球—大地测量学与测量工程]