FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed. The estimation performance of Extended Kalman filter modification and Unscented Kalman filter is compared.
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| Subjects: | |
| Online Access: | https://doklady.bsuir.by/jour/article/view/411 |
| _version_ | 1826547543579820032 |
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| author | A. S. Solonar P. A. Khmarski |
| author_facet | A. S. Solonar P. A. Khmarski |
| author_sort | A. S. Solonar |
| collection | DOAJ |
| description | The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed. The estimation performance of Extended Kalman filter modification and Unscented Kalman filter is compared. |
| first_indexed | 2024-04-10T03:14:35Z |
| format | Article |
| id | doaj.art-7d9d0b7cf1534550bb37d4d363e2ff14 |
| institution | Directory Open Access Journal |
| issn | 1729-7648 |
| language | Russian |
| last_indexed | 2025-03-14T05:51:19Z |
| publishDate | 2019-06-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj.art-7d9d0b7cf1534550bb37d4d363e2ff142025-03-05T12:43:03ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01017177410FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLESA. S. Solonar0P. A. Khmarski1Военная академия Республики БеларусьВоенная академия Республики БеларусьThe target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed. The estimation performance of Extended Kalman filter modification and Unscented Kalman filter is compared.https://doklady.bsuir.by/jour/article/view/411сопровождение баллистических объектовфильтр калмана при косвенных измеренияхнелинейная фильтрацияансцентный фильтр калманавхождение в атмосферуспиральный маневр |
| spellingShingle | A. S. Solonar P. A. Khmarski FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki сопровождение баллистических объектов фильтр калмана при косвенных измерениях нелинейная фильтрация ансцентный фильтр калмана вхождение в атмосферу спиральный маневр |
| title | FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES |
| title_full | FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES |
| title_fullStr | FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES |
| title_full_unstemmed | FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES |
| title_short | FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES |
| title_sort | filtering features for tracking of spiraling reentry vehicles |
| topic | сопровождение баллистических объектов фильтр калмана при косвенных измерениях нелинейная фильтрация ансцентный фильтр калмана вхождение в атмосферу спиральный маневр |
| url | https://doklady.bsuir.by/jour/article/view/411 |
| work_keys_str_mv | AT assolonar filteringfeaturesfortrackingofspiralingreentryvehicles AT pakhmarski filteringfeaturesfortrackingofspiralingreentryvehicles |