Name
Abstract | ||
|---|---|---|
The ambiguities resolved to their correct integer values are very important for the high accuracy of the double-differenced Global Positioning System (GPS) carrier phase observables. Genetic algorithms (GAs) have some advantages of simpleness, parallel and robustness on resolving numerical value optimization problems. So GAs were improved and applied on GPS ambiguity resolution on single epoch Aimed on the integer nature of double difference ambiguities, the coded methods of GAs were improved. And then the corresponding genetic operators and control parameters were modified. The fitness function was established based on non-Linear least-square principle. Through a large number of cases, the tests of the proposed method were practiced and it was verified that the improved GAs was effective. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICNC.2010.5584017 | ICNC |
Keywords | Field | DocType |
carrier phase observables,global positioning system,single epoch data,non-linear least-square principle,gps ambiguity resolution,least squares approximations,genetic algorithms,correct integer values,single epoch positioning,control parameters,genetics,genetic algorithm,algorithm design and analysis,optimization problem,fitness function,genetic operator,mathematical model,optimization,estimation | Mathematical optimization,Algorithm design,Computer science,Fitness function,Robustness (computer science),Ambiguity resolution,Operator (computer programming),Global Positioning System,Optimization problem,Genetic algorithm | Conference |
Volume | ISBN | Citations |
5 | 978-1-4244-5958-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhimin Liu | 1 | 0 | 1.01 |
| Weidong Xiong | 2 | 0 | 0.68 |
| Zhizhong Kang | 3 | 55 | 9.15 |
| Huizhan Zhang | 4 | 0 | 0.68 |
| Meng Qu | 5 | 0 | 1.35 |