DocumentCode
1721926
Title
An improved integer ambiguity decorrelation algorithm
Author
Xu Dingjie ; Chen Xiao ; Shen Feng
Author_Institution
Harbin Eng. Univ., Harbin, China
fYear
2013
Firstpage
5035
Lastpage
5040
Abstract
The solution of integer ambiguity was regarded as a key technology of precise attitude measuring algorithm, which rapidity and accuracy is influenced by the relevance of ambiguity vector. Since the deficiency of present decorrelation way in LAMBDA algorithm, it was hard to solve. This paper used a sort way to optimization the method of decorrelation, and improved the iterative process of LLL and white filter algorithms iterative process improvement. The simulation results shown that the optimized of decorrelation algorithm was suit for the LLL and white filter algorithms. And the settlement effects were better to relevance with a higher success rate.
Keywords
attitude measurement; decorrelation; filtering theory; iterative methods; LAMBDA algorithm; LLL iterative process; ambiguity vector; decorrelation method; integer ambiguity decorrelation algorithm; precise attitude measuring algorithm; white filter algorithms; Integer Ambiguity; LAMBDA; LLL algorithm; white filter algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Conference_Location
Xi´an
Type
conf
Filename
6640314
Link To Document