Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems
Global Positioning System (GPS) and Inertial Navigation System (INS) technologies have been widely used in a variety of positioning and navigation applications. Both Systems have their unique features and shortcomings. Hence, combined system of GPS and INS can exhibit the robustness, higher bandwidt...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2016-01-01
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| Series: | Engineering and Technology Journal |
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| Online Access: | https://etj.uotechnology.edu.iq/article_112536_cb2bc44db3541876e83b593166c9f967.pdf |
| _version_ | 1797325941787066368 |
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| author | Sameir A. Aziez Huda Naji Abdul-Rihda |
| author_facet | Sameir A. Aziez Huda Naji Abdul-Rihda |
| author_sort | Sameir A. Aziez |
| collection | DOAJ |
| description | Global Positioning System (GPS) and Inertial Navigation System (INS) technologies have been widely used in a variety of positioning and navigation applications. Both Systems have their unique features and shortcomings. Hence, combined system of GPS and INS can exhibit the robustness, higher bandwidth and better noise characteristics of the inertial system with the long-term stability of GPS, Integrated together are used to provide a reliable Navigation System. This paperwill compare the performance of Kalman filter and Dynamic adaptive neuro fuzzy system for integrated INS/GPS systems. The Simulation Results by Matlab7 Programming Language showed great improvements in positioning, gives a best results and reduce the root mean square error (r.m.s.) when used Dynamic adaptive neuro fuzzy system rather than Kalman filter. |
| first_indexed | 2024-03-08T06:16:31Z |
| format | Article |
| id | doaj.art-7cf690c422e746cdbcf82b96bb3b8357 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:16:31Z |
| publishDate | 2016-01-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-7cf690c422e746cdbcf82b96bb3b83572024-02-04T17:27:21ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-01-01341A617210.30684/etj.34.1A.6112536Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS SystemsSameir A. AziezHuda Naji Abdul-RihdaGlobal Positioning System (GPS) and Inertial Navigation System (INS) technologies have been widely used in a variety of positioning and navigation applications. Both Systems have their unique features and shortcomings. Hence, combined system of GPS and INS can exhibit the robustness, higher bandwidth and better noise characteristics of the inertial system with the long-term stability of GPS, Integrated together are used to provide a reliable Navigation System. This paperwill compare the performance of Kalman filter and Dynamic adaptive neuro fuzzy system for integrated INS/GPS systems. The Simulation Results by Matlab7 Programming Language showed great improvements in positioning, gives a best results and reduce the root mean square error (r.m.s.) when used Dynamic adaptive neuro fuzzy system rather than Kalman filter.https://etj.uotechnology.edu.iq/article_112536_cb2bc44db3541876e83b593166c9f967.pdfkalman filterdynamic adaptive neuro fuzzy systemgps systemins system |
| spellingShingle | Sameir A. Aziez Huda Naji Abdul-Rihda Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems Engineering and Technology Journal kalman filter dynamic adaptive neuro fuzzy system gps system ins system |
| title | Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems |
| title_full | Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems |
| title_fullStr | Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems |
| title_full_unstemmed | Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems |
| title_short | Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems |
| title_sort | comparing kalman filter and dynamic adaptive neuro fuzzy for integrating of ins gps systems |
| topic | kalman filter dynamic adaptive neuro fuzzy system gps system ins system |
| url | https://etj.uotechnology.edu.iq/article_112536_cb2bc44db3541876e83b593166c9f967.pdf |
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