OPTIMIZATION AND SELECTION OF GPS TRIPLE-CARRIES PHASE COMBINATION OBSERVATIONS BASED SELF-ADAPTIVE CLUSTERING ALGORITHM
Huang Lingyong; Song Lijie ;and Liu Xiandong
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052
Abstract The model of GPS triplecarries 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 selfadaptive 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.
Key words ：
GPS triplecarrie phase
combination observation
dissimilarity matrix
selfadaptive clustering
matrix transformation
ambiguity resolution
Received: 01 January 1900
Corresponding Authors:
Huang Lingyong
Cite this article:
Huang Lingyong,Song Lijie,and Liu Xiandong. OPTIMIZATION AND SELECTION OF GPS TRIPLE-CARRIES PHASE COMBINATION OBSERVATIONS BASED SELF-ADAPTIVE CLUSTERING ALGORITHM[J]. , 2011, 31(4): 99-102.
Huang Lingyong,Song Lijie,and Liu Xiandong. OPTIMIZATION AND SELECTION OF GPS TRIPLE-CARRIES PHASE COMBINATION OBSERVATIONS BASED SELF-ADAPTIVE CLUSTERING ALGORITHM[J]. jgg, 2011, 31(4): 99-102.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2011/V31/I4/99
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