A improved algorithm of integer ambiguity search space
Yan Liu, Wentao Bai, Bingnan Pei, Wei Pan · 2017
The ambiguity search space has a great effect on integer ambiguity searching efficiency and confirmation. In the case of high ambiguity dimension, the search space is determined when the ambiguity dimension is large. The conventional method is prone to the ambiguity fixed failure. And the actual ambiguity group number and the expected value of a large deviation by the conservative method, resulting in large search space and low efficiency. In this paper, the Z-transform decorrelation algorithm is improved based on the LAMBDA algorithm, then the improved decorrelation algorithm and the conservative method are used to determine the search space. The results show that when the ambiguity dimension is high, the success rate of ambiguity is increased by 2%-3%, and the number of fuzzy degrees is also reduced obviously, which effectively improves the search of ambiguity.