Efficient Ambiguitv Search Using Genetic Algorithms
Zuofa Li · Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995) · 1995
In this paper, an efficient search procedure for phase ambiguities is developed using genetic algorithms (GAS). GAS are efficient search techniques based on the mechanism of natural selection, combining a Darwinian survival-of-the-fittest philosophy with a random yet structured information exchange among a population of artificial chromosomes, which correspond to the number of potential ambiguity sets in the ambiguity search procedure. Numerical results show that the correct ambiguities are found after examining only a small portion of the search space using the proposed procedure.