Efficient Ambiguitv Search Using Genetic Algorithms

Zuofa Li

Abstract:	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.
Published in:	Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995) September 12 - 15, 1995 Palm Springs, CA
Pages:	331 - 337
Cite this article:	Li, Zuofa, "Efficient Ambiguitv Search Using Genetic Algorithms," Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995), Palm Springs, CA, September 1995, pp. 331-337.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In