| Autor: |
Nalineekumari Arasavali, G. Sasibhushana Rao, Lavanya Bagadi |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). |
| DOI: |
10.1109/icrieece44171.2018.9009270 |
| Popis: |
Global Positioning System (GPS) is mainly used in military, surveying, transportation and civil applications based on tracking and navigation principle. This paper considers a Differential evolution (DE) algorithm for estimating the GPS receiver position and aims to carry out the performance comparison with Genetic algorithm (GA). In order to improve the GPS receiver positioning accuracy, the DE based on stochastic method is adopted and fitness function is set up based on the square of error distribution of pseudo range observation values. It is observed that DE outperforms GA in finding the true global minimum and validation results show that DE guarantees a feasible solution in faster convergence rate than GA with high precision and is applicable for real time defense applications. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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