Parallel LLL high-dimensional ambiguity decorrelation algorithm
An ambiguity and drop-correlation technology, which is applied in the field of satellite navigation and positioning, can solve the problems of convergence deterioration and cannot efficiently deal with high-dimensional ambiguity drop-correlation solutions, so as to overcome convergence stability, improve efficiency, improve computing efficiency and search speed effect
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[0033] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.
[0034] The object of the present invention is to provide a kind of parallel LLL high-dimensional ambiguity reduction correlation method, which adopts mixed Cholesky lower triangle (L T L) decomposition and upper triangular (U T U) decomposition, which can effectively decorrelate high-dimensional ambiguity and improve the search efficiency and calculation speed of ambiguity. At the same time, before each decomposition, the vectors of the correlation matrix are sorted according to the size of the inner product, thereby improving the convergence of the algorith...
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