大地测量与地球动力学2011，Vol.31Issue(4)：99-102,4.
基于自适应聚类算法的GPS三频载波相位组合观测值优化选取
OPTIMIZATION AND SELECTION OF GPS TRIPLE-CARRIES PHASE COMBINATION OBSERVATIONS BASED SELF-ADAPTIVE CLUSTERING ALGORITHM
摘要
Abstract
The model of GPS triple-carries phase combination observations was deduced, and errors of combination observations were analyzed. Based on the theory of fuzzy clustering analysis, the combination observations obtained by the longer wavelength criterion are analyzed and are classified by using the self-adaptive clustering algorithm based on dissimilarity matrix. The condition which each calss suit to has been analyzed and proved with the method for the integer ambiguity resolution based on matrix transformation by using measurements of L1 and L2 carriers and simulations of L5 carrier. The result shows that using the fuzzy clustering method not only the optimization combination can be achieved but also the workload for enumerating all possible combinations to filter the better combination will be decreased.关键词
GPS三频载波相位/组合观测值/相异度矩阵/自适应聚类/矩阵变换/模糊度解算Key words
GPS triple-carrie phase/ combination observation/ dissimilarity matrix/ self-adaptive clustering/ matrix transformation/ ambiguity resolution分类
天文与地球科学引用本文复制引用
黄令勇,宋力杰,刘先冬..基于自适应聚类算法的GPS三频载波相位组合观测值优化选取[J].大地测量与地球动力学,2011,31(4):99-102,4.基金项目
信息工程大学测绘学院硕士学位论文创新与创优基金(S201102) （S201102）
