An improved deep interpolation LLL algorithm for integer ambiguity resolving
This paper addresses the problem of fast integer ambiguity resolution in high-precision positioning of GNSS carrier phase,Utilizing the idea of lattice basis reduction,based on the relationship between the sum of squared lengths of Gram-Schmidt orthogonalized basis vectors and lattice basis reduction,the existing deep insert LLL algorithm was improved and the IDLLL lattice basis reduction algorithm was proposed in this paper.By conducting simulation experiments and using real measured data,the lattice basis reduction performance of the IDLLL algorithm was compared with the performance of the algorithm before improvement from three aspects:Hadamard ratio,deep insert iterations,and reduction efficiency.Experimental results showed that the IDLLL algorithm not only achieved comparable reduction effects to the deep insert LLL algorithm but also improved the reduction efficiency,with an average improvement rate of 54.18％.
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