A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target
The tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s position and velocity. Different methods are used for tracking. However, the most commonly used method is the Kalman filter and its modifications. The Alpha-Beta-Gamma filter is one of the special case...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Gdynia Maritime University
2017-03-01
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| Series: | TransNav: International Journal on Marine Navigation and Safety of Sea Transportation |
| Subjects: | |
| Online Access: | http://www.transnav.eu/files/A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target,697.pdf |
| _version_ | 1819135801525534720 |
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| author | Tae-Gweon Jeong Bao Feng Pan Ann W. Njonjo |
| author_facet | Tae-Gweon Jeong Bao Feng Pan Ann W. Njonjo |
| author_sort | Tae-Gweon Jeong |
| collection | DOAJ |
| description | The tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s position and velocity. Different methods are used for tracking. However, the most commonly used method is the Kalman filter and its modifications. The Alpha-Beta-Gamma filter is one of the special cases of the general solution pro-vided by the Kalman filter. It is a third order filter that computes the smoothed estimates of position, velocity and acceleration for the nth observation, and also predicts the next position and velocity. Although found to track a maneuvering target with a good accuracy than the constant velocity, Alpha-Beta filter, the Alpha-Beta-Gamma filter does not perform impressively under high maneuvers such as when the target is undergoing changing accelerations. This study, therefore, aims to track a highly maneuvering target experiencing jerky motions due to changing accelerations. The Alpha-Beta-Gamma filter is extended to include the fourth state that is, constant jerk to correct the sudden change of acceleration in order to improve the filter’s performance. Results obtained from simulations of the input model of the target dynamics under consideration indicate an improvement in performance of the jerky model, Alpha-Beta-Gamma-Eta, algorithm as compared to the constant acceleration model, Alpha-Beta-Gamma in terms of error reduction and stability of the filter during target maneuver. |
| first_indexed | 2024-12-22T10:24:51Z |
| format | Article |
| id | doaj.art-7e6e1c6efecc48f6b2ce4d0190fcdfb8 |
| institution | Directory Open Access Journal |
| issn | 2083-6473 2083-6481 |
| language | English |
| last_indexed | 2024-12-22T10:24:51Z |
| publishDate | 2017-03-01 |
| publisher | Gdynia Maritime University |
| record_format | Article |
| series | TransNav: International Journal on Marine Navigation and Safety of Sea Transportation |
| spelling | doaj.art-7e6e1c6efecc48f6b2ce4d0190fcdfb82022-12-21T18:29:31ZengGdynia Maritime UniversityTransNav: International Journal on Marine Navigation and Safety of Sea Transportation2083-64732083-64812017-03-01111495310.12716/1001.11.01.04697A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic TargetTae-Gweon JeongBao Feng PanAnn W. NjonjoThe tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s position and velocity. Different methods are used for tracking. However, the most commonly used method is the Kalman filter and its modifications. The Alpha-Beta-Gamma filter is one of the special cases of the general solution pro-vided by the Kalman filter. It is a third order filter that computes the smoothed estimates of position, velocity and acceleration for the nth observation, and also predicts the next position and velocity. Although found to track a maneuvering target with a good accuracy than the constant velocity, Alpha-Beta filter, the Alpha-Beta-Gamma filter does not perform impressively under high maneuvers such as when the target is undergoing changing accelerations. This study, therefore, aims to track a highly maneuvering target experiencing jerky motions due to changing accelerations. The Alpha-Beta-Gamma filter is extended to include the fourth state that is, constant jerk to correct the sudden change of acceleration in order to improve the filter’s performance. Results obtained from simulations of the input model of the target dynamics under consideration indicate an improvement in performance of the jerky model, Alpha-Beta-Gamma-Eta, algorithm as compared to the constant acceleration model, Alpha-Beta-Gamma in terms of error reduction and stability of the filter during target maneuver.http://www.transnav.eu/files/A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target,697.pdfIntegrated NavigationAlpha-Beta-Gamma FilterKalman FilterHigh Dynamic TargetShips TrackingTarget DynamicsJerky ModelARPA |
| spellingShingle | Tae-Gweon Jeong Bao Feng Pan Ann W. Njonjo A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target TransNav: International Journal on Marine Navigation and Safety of Sea Transportation Integrated Navigation Alpha-Beta-Gamma Filter Kalman Filter High Dynamic Target Ships Tracking Target Dynamics Jerky Model ARPA |
| title | A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target |
| title_full | A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target |
| title_fullStr | A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target |
| title_full_unstemmed | A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target |
| title_short | A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target |
| title_sort | study of optimization of alpha beta gamma eta filter for tracking a high dynamic target |
| topic | Integrated Navigation Alpha-Beta-Gamma Filter Kalman Filter High Dynamic Target Ships Tracking Target Dynamics Jerky Model ARPA |
| url | http://www.transnav.eu/files/A Study of Optimization of Alpha-Beta-Gamma-Eta Filter for Tracking a High Dynamic Target,697.pdf |
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