THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD
Accuracy of approximation Gaussian probability density at conversion of measurements from Cartesian coordinates to polar for various conditions of observation is estimated using Monte-Carlo method. Conditions of observation research for extended Kalman filter goodness-of-fit are presented.
| 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/379 |
| _version_ | 1797881159749730304 |
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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 | Accuracy of approximation Gaussian probability density at conversion of measurements from Cartesian coordinates to polar for various conditions of observation is estimated using Monte-Carlo method. Conditions of observation research for extended Kalman filter goodness-of-fit are presented. |
| first_indexed | 2024-04-10T03:14:45Z |
| format | Article |
| id | doaj.art-9d47560bb3a7423582a8b81d5666ae03 |
| institution | Directory Open Access Journal |
| issn | 1729-7648 |
| language | Russian |
| last_indexed | 2024-04-10T03:14:45Z |
| 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-9d47560bb3a7423582a8b81d5666ae032023-03-13T07:33:14ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01077177378THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHODA. S. Solonar0P. A. Khmarski1Военная академия Республики БеларусьВоенная академия Республики БеларусьAccuracy of approximation Gaussian probability density at conversion of measurements from Cartesian coordinates to polar for various conditions of observation is estimated using Monte-Carlo method. Conditions of observation research for extended Kalman filter goodness-of-fit are presented.https://doklady.bsuir.by/jour/article/view/379метод линеаризацииплотность вероятностиметод монте-карлосопровождение летательных аппаратовфильтр калмана при косвенных измерениях |
| spellingShingle | A. S. Solonar P. A. Khmarski THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki метод линеаризации плотность вероятности метод монте-карло сопровождение летательных аппаратов фильтр калмана при косвенных измерениях |
| title | THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD |
| title_full | THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD |
| title_fullStr | THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD |
| title_full_unstemmed | THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD |
| title_short | THE CONDITIONS OF OBSERVATION RESEARCH FOR EXTENDED KALMAN FILTER GOODNESS-OF-FIT USING MONTE-CARLO METHOD |
| title_sort | conditions of observation research for extended kalman filter goodness of fit using monte carlo method |
| topic | метод линеаризации плотность вероятности метод монте-карло сопровождение летательных аппаратов фильтр калмана при косвенных измерениях |
| url | https://doklady.bsuir.by/jour/article/view/379 |
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