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

作　　者：黄令勇[1] 宋力杰[1] 刘先冬[1] 

机构地区：[1]解放军信息工程大学测绘学院,郑州450052

出　　处：《大地测量与地球动力学》2011年第4期99-102,共4页Journal of Geodesy and Geodynamics

基　　金：信息工程大学测绘学院硕士学位论文创新与创优基金(S201102)

摘　　要：推导了GPS三频载波相位组合观测值模型,并且对组合观测值进行了误差分析。根据模糊聚类分析理论,对由长波长标准得到的三频载波相位组合观测值进行分析,运用基于相异度矩阵的自适应聚类算法对其进行分类。对各类组合观测值适用条件进行分析,利用实测L1、L2数据和模拟的L5数据通过矩阵变换求解模糊度法对其进行验证。从而得出结论:通过模糊聚类分析不仅可以选取满足不同长短基线的较优组合,而且大大减少了运用枚举所有组合来筛选较好组合的工作量。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 algo- rithm 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 15 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 

分 类 号：P227[天文地球—大地测量学与测量工程]