Paper Info
Title
Application of the Improved Genetic Algorithms With Real Code on GPS Data Processing
Abstract
Because of some advantages, such as simpleness, parallel and robustness on resolving numerical value optimization problems, genetic algorithms (GA) were improved and applied on Global Positioning System (GPS) high precision positioning data processing. Aimed on the integer nature of double difference ambiguities and the real nature of baseline coordinates, the real-coded methods of GA were improved in order to satisfy to the solution sets characteristic of GPS positioning. And then the corresponding genetic operators and control parameters were modified. The method to solve synchronously the GPS relative positioning was raised based on nonlinear least-square principle. So the dependence on the accuracy of float solution was avoided, and the improved GA helped to enhance the search optimum success rate. Through a large number of cases, the tests of the proposed method were practiced and it was verified that this improved GA were superior to data processing of GPS carrier phase relative positioning resolution on stability and efficiency.
Year
DOI
Venue
2007
10.1109/ICNC.2007.264
ICNC
Keywords
Field
DocType
improved genetic algorithms,gps positioning,float solution,genetic algorithm,gps relative positioning,gps carrier phase,improved ga,gps data processing,integer nature,corresponding genetic operator,high precision positioning data,real code,relative positioning resolution,genetic algorithms,optimization problem,satisfiability,genetic operator,data processing,global positioning system,nonlinear least squares
Mathematical optimization,Data processing,Nonlinear system,Computer science,Robustness (computer science),Solution set,Operator (computer programming),Global Positioning System,Optimization problem,Genetic algorithm
Conference
Volume
ISSN
ISBN
5
2157-9555
0-7695-2875-9
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Zhimin Liu100.68
Zhixing Du200.34
Rong Zou300.34