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| Content Provider | Springer Nature Link |
|---|---|
| Author | Refan, Mohammad Hossein Dameshghi, Adel Kamarzarrin, Mehrosh |
| Copyright Year | 2016 |
| Abstract | Due to errors, accuracy of Global Positioning System is not so high. Therefore, the Real Time Differential Global Poisoning System (RTDGPS) which is based on the successive transmission message of RTCM protocol, is using in real-time applications. Stability and accuracy of the system, significantly depends to a fast transmission of correction messages. These messages come from the reference station to the user stations and affected by the errors related to each satellite. Receiving correction factors which are transmitted by the reference station are facing with time-lag problem, which can increase the error of the RTDGPS. To overcome this problem, prediction algorithms are used. In this research, support vector machine (SVM) model is used to predict the pseudo range correction. Unfortunately, the practical use of SVM is limited because the quality of SVM models depends on a proper setting of SVM and SVM kernel parameters. Therefore, to determine the main parameters of the SVM, both particle swarm optimization (PSO) and genetic algorithm (GA), as two optimization techniques, are used. The proposed methodology has been implemented by a 6-s predicts time step. Simulations showed that the accuracy of GA–SVM and PSO–SVM are equal to 0.186 and 0.154, respectively. |
| Starting Page | 66 |
| Ending Page | 81 |
| Page Count | 16 |
| File Format | |
| ISSN | 10689605 |
| Journal | International Journal of Wireless Information Networks |
| Volume Number | 23 |
| Issue Number | 1 |
| e-ISSN | 15728129 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-02-15 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Real Time Differential Global Position System GA–SVM PRC PSO–SVM Electrical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Electrical and Electronic Engineering Hardware and Architecture |
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