A Novel Method for Optimum Global Positioning System Satellite Selection Based on a Modified Genetic Algorithm
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 e...
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| Veröffentlicht in: | PloS one 2016-03, Vol.11 (3), p.e0150005-e0150005 |
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| description | 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 more adaptable and flexible for GPS receivers, particularly for those used in handset equipment and mobile phones. |
| doi_str_mv | 10.1371/journal.pone.0150005 |
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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 more adaptable and flexible for GPS receivers, particularly for those used in handset equipment and mobile phones.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0150005</identifier><identifier>PMID: 26943638</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Adaptive algorithms ; Algorithms ; Applied mathematics ; Biology and Life Sciences ; Cellular telephones ; Classification ; Computer and Information Sciences ; Computer science ; Computer Simulation ; Conservation ; Coordinate transformations ; Dilution ; Eigen values ; Eigenvalues ; Engineering and Technology ; Fault detection ; Genetic algorithms ; Geographic Information Systems ; Geometric dilution of precision ; Geometry ; Global Positioning System ; Global positioning systems ; GPS ; International conferences ; Linear algebra ; Methods ; Mutation ; Navigation satellites ; Neural networks ; Optimization ; Physical Sciences ; Point Mutation ; Principal components analysis ; Research and Analysis Methods ; Satellite Communications ; Satellite navigation systems ; Satellites ; Set theory</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0150005-e0150005</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Song et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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 more adaptable and flexible for GPS receivers, particularly for those used in handset equipment and mobile phones.</description><subject>Accuracy</subject><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Applied mathematics</subject><subject>Biology and Life Sciences</subject><subject>Cellular telephones</subject><subject>Classification</subject><subject>Computer and Information Sciences</subject><subject>Computer science</subject><subject>Computer Simulation</subject><subject>Conservation</subject><subject>Coordinate transformations</subject><subject>Dilution</subject><subject>Eigen values</subject><subject>Eigenvalues</subject><subject>Engineering and Technology</subject><subject>Fault detection</subject><subject>Genetic algorithms</subject><subject>Geographic Information Systems</subject><subject>Geometric dilution of precision</subject><subject>Geometry</subject><subject>Global Positioning System</subject><subject>Global positioning 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Novel Method for Optimum Global Positioning System Satellite Selection Based on a Modified Genetic Algorithm</title><author>Song, Jiancai ; Xue, Guixiang ; Kang, Yanan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-10fe9b67e0c8fba8874679f2e34aaadb8aa0dfd775a1d1061ab18cf465be1d7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Adaptive algorithms</topic><topic>Algorithms</topic><topic>Applied mathematics</topic><topic>Biology and Life Sciences</topic><topic>Cellular telephones</topic><topic>Classification</topic><topic>Computer and Information Sciences</topic><topic>Computer science</topic><topic>Computer Simulation</topic><topic>Conservation</topic><topic>Coordinate transformations</topic><topic>Dilution</topic><topic>Eigen values</topic><topic>Eigenvalues</topic><topic>Engineering and Technology</topic><topic>Fault 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Selection Based on a Modified Genetic Algorithm</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-04</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0150005</spage><epage>e0150005</epage><pages>e0150005-e0150005</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><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 more adaptable and flexible for GPS receivers, particularly for those used in handset equipment and mobile phones.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26943638</pmid><doi>10.1371/journal.pone.0150005</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Accuracy Adaptive algorithms Algorithms Applied mathematics Biology and Life Sciences Cellular telephones Classification Computer and Information Sciences Computer science Computer Simulation Conservation Coordinate transformations Dilution Eigen values Eigenvalues Engineering and Technology Fault detection Genetic algorithms Geographic Information Systems Geometric dilution of precision Geometry Global Positioning System Global positioning systems GPS International conferences Linear algebra Methods Mutation Navigation satellites Neural networks Optimization Physical Sciences Point Mutation Principal components analysis Research and Analysis Methods Satellite Communications Satellite navigation systems Satellites Set theory |
| title | A Novel Method for Optimum Global Positioning System Satellite Selection Based on a Modified Genetic Algorithm |
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