Implementation of an intelligent SINS navigator based on ANFIS
In this work an intelligent navigator developed to overcome the limitations of existing Strapdown Inertial Navigation Systems (SINS) algorithm. This system is based on Adaptive Neuro-Fuzzy Inference System (ANFIS). As in previous work, which is based on Artificial Neural Network, the window based w...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45883/ http://psasir.upm.edu.my/id/eprint/45883/1/Implementation%20of%20an%20intelligent%20SINS%20navigator%20based%20on%20ANFIS.pdf |
| _version_ | 1848850553328631808 |
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| author | Ahjebory, Karim M. Ismaeel, Salam A. Alqaissi, Ahmed M. |
| author_facet | Ahjebory, Karim M. Ismaeel, Salam A. Alqaissi, Ahmed M. |
| author_sort | Ahjebory, Karim M. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this work an intelligent navigator developed to overcome the limitations of existing Strapdown Inertial Navigation Systems (SINS) algorithm. This system is based on Adaptive Neuro-Fuzzy Inference System (ANFIS).
As in previous work, which is based on Artificial Neural Network, the window based weight updating strategy was used, and the intelligent navigator evaluated using several SINS hypothetical field tests data. And the results show that the intelligent navigator based on ANFIS more powerful compared with other (traditional and intelligent navigator based on ANN). |
| first_indexed | 2025-11-15T10:08:07Z |
| format | Conference or Workshop Item |
| id | upm-45883 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:08:07Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-458832020-08-10T02:21:34Z http://psasir.upm.edu.my/id/eprint/45883/ Implementation of an intelligent SINS navigator based on ANFIS Ahjebory, Karim M. Ismaeel, Salam A. Alqaissi, Ahmed M. In this work an intelligent navigator developed to overcome the limitations of existing Strapdown Inertial Navigation Systems (SINS) algorithm. This system is based on Adaptive Neuro-Fuzzy Inference System (ANFIS). As in previous work, which is based on Artificial Neural Network, the window based weight updating strategy was used, and the intelligent navigator evaluated using several SINS hypothetical field tests data. And the results show that the intelligent navigator based on ANFIS more powerful compared with other (traditional and intelligent navigator based on ANN). IEEE 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45883/1/Implementation%20of%20an%20intelligent%20SINS%20navigator%20based%20on%20ANFIS.pdf Ahjebory, Karim M. and Ismaeel, Salam A. and Alqaissi, Ahmed M. (2009) Implementation of an intelligent SINS navigator based on ANFIS. In: 2009 6th International Multi-Conference on Systems, Signals and Devices (SSD'09), 23-26 Mar. 2009, Djerba, Tunisia. . 10.1109/SSD.2009.4956680 |
| spellingShingle | Ahjebory, Karim M. Ismaeel, Salam A. Alqaissi, Ahmed M. Implementation of an intelligent SINS navigator based on ANFIS |
| title | Implementation of an intelligent SINS navigator based on ANFIS |
| title_full | Implementation of an intelligent SINS navigator based on ANFIS |
| title_fullStr | Implementation of an intelligent SINS navigator based on ANFIS |
| title_full_unstemmed | Implementation of an intelligent SINS navigator based on ANFIS |
| title_short | Implementation of an intelligent SINS navigator based on ANFIS |
| title_sort | implementation of an intelligent sins navigator based on anfis |
| url | http://psasir.upm.edu.my/id/eprint/45883/ http://psasir.upm.edu.my/id/eprint/45883/ http://psasir.upm.edu.my/id/eprint/45883/1/Implementation%20of%20an%20intelligent%20SINS%20navigator%20based%20on%20ANFIS.pdf |