Integer Ambiguity Solution Based on Artificial Fish Swarm Algorithm
LIU Shugang
ZHANG Yajing
Abstract：The integer ambiguity solution is the key of solving the problem in the global satellite navigation system posi-tioning solution.In the process of ambiguity resolution,there is a problem of low search speed.In this paper,to solve this problem,the artificial fish swarm algorithm is introduced into the fast solution of integer ambiguity according to the features of global optimization of this algorithm.Firstly,the double difference carrier phase measurement model of the satellite posi-tioning system is analyzed,the float solution of ambiguity is calculated by the weighted least square estimation.Then,the in-verse integer Cholesky algorithm based on ascending sort is used to decorrelate the float solution of the corresponding covari-ance matrix.Finally,the artificial fish swarm algorithm is used to search the ambiguity.And due to the integer features of ambiguity,the artificial fish swarm algorithm is improved using rounding algorrithm.The instance is used for simulation ex-periment.And the result of the experiment is great.Compared with genetic algorithm to solve this problem,exact solution of the problem is obtained by using artificial fish swarm algorithm,and the search time is short using this algorithm.
Keywords：global positioning systeminteger ambiguityartificial fish swarm algorithm
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2127-2130,2190 )