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 :
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