A Novel Method for Optimum Global Positioning System Satellite Selection Based on a Modified Genetic Algorithm.

ABSTRACT: In this paper, a novel method for selecting a navigation satellite subset for a global positioning system (GPS) based on a genetic algorithm is presented. This approach is based on minimizing the factors in the geometric dilution of precision (GDOP) using a modified genetic algorithm (MGA) with an elite conservation strategy, adaptive selection, adaptive mutation, and a hybrid genetic algorithm that can select a subset of the satellites represented by specific numbers in the interval (4 ∼ n) while maintaining position accuracy. A comprehensive simulation demonstrates that the MGA-based satellite selection method effectively selects the correct number of optimal satellite subsets using receiver autonomous integrity monitoring (RAIM) or fault detection and exclusion (FDE). This method is mor

SUBMITTER: Song J 

PROVIDER: S-EPMC4778922 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature