An Improved GNSS High-Dimensional Ambiguity Fast Decorrelation Algorithm
Abstract In order to improve the efficiency of GNSS high-dimensional ambiguity resolution, this paper proposes an improved GNSS ambiguity fast decorrelation algorithm. The algorithm adopts a symmetric rotation sorting strategy and a delayed decorrelation strategy to improve the integer Gaussian transform algorithm of the lower triangular Cholesky decomposition. Verification through simulations and measured data experiments shows that the improved algorithm reduces the number of conditional variance exchanges and integer Gaussian transformations in the decorrelation process to a certain extent, thereby effectively improving the efficiency of the original algorithm and enhancing the stability of the calculation time.
Key words :
ambiguity resolution
fast decorrelation
symmetric rotation sorting
delayed decorrelation
Cite this article:
LU Tieding,WANG Xin,LU Chunyang. An Improved GNSS High-Dimensional Ambiguity Fast Decorrelation Algorithm[J]. jgg, 2021, 41(5): 511-515.
LU Tieding,WANG Xin,LU Chunyang. An Improved GNSS High-Dimensional Ambiguity Fast Decorrelation Algorithm[J]. jgg, 2021, 41(5): 511-515.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2021/V41/I5/511
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