Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters
Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss–Hermite information filter, as well as a seventh-degree cubature information filter (CIF), is developed to improve the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2226-4310/5/1/28 |
| _version_ | 1818176289242087424 |
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| author | Hamza Benzerrouk Alexander Nebylov Meng Li |
| author_facet | Hamza Benzerrouk Alexander Nebylov Meng Li |
| author_sort | Hamza Benzerrouk |
| collection | DOAJ |
| description | Multi-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss–Hermite information filter, as well as a seventh-degree cubature information filter (CIF), is developed to improve the fifth-degree and third-degree CIFs proposed in the most recent related literature. These algorithms are applied to maneuvering target tracking based on Radar Doppler range/range rate signals. To achieve this purpose, different measurement models such as range-only, range rate, and bearing-only tracking are used in the simulations. In this paper, the mobile sensor target tracking problem is addressed and solved by a higher-degree class of quadrature information filters (HQIFs). A centralized fusion architecture based on distributed information filtering is proposed, and yielded excellent results. Three high dynamic UAVs are simulated with synchronized Doppler measurement broadcasted in parallel channels to the control center for global information fusion. Interesting results are obtained, with the superiority of certain classes of higher-degree quadrature information filters. |
| first_indexed | 2024-12-11T20:13:49Z |
| format | Article |
| id | doaj.art-719d223ec8ce4a0c9b1051304b40875d |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-12-11T20:13:49Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-719d223ec8ce4a0c9b1051304b40875d2022-12-22T00:52:14ZengMDPI AGAerospace2226-43102018-03-01512810.3390/aerospace5010028aerospace5010028Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information FiltersHamza Benzerrouk0Alexander Nebylov1Meng Li2Department of Electrical Engineering, Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, CanadaDepartment of Aerospace Measuring and Computing Systems, Saint Petersburg State University of Aerospace Instrumentation, 67 Bolshaya Morskaya, Sankt-Peterburg 190000, RussiaDepartment of Electrical Engineering, Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, CanadaMulti-Unmanned Aerial Vehicle (UAV) Doppler-based target tracking has not been widely investigated, specifically when using modern nonlinear information filters. A high-degree Gauss–Hermite information filter, as well as a seventh-degree cubature information filter (CIF), is developed to improve the fifth-degree and third-degree CIFs proposed in the most recent related literature. These algorithms are applied to maneuvering target tracking based on Radar Doppler range/range rate signals. To achieve this purpose, different measurement models such as range-only, range rate, and bearing-only tracking are used in the simulations. In this paper, the mobile sensor target tracking problem is addressed and solved by a higher-degree class of quadrature information filters (HQIFs). A centralized fusion architecture based on distributed information filtering is proposed, and yielded excellent results. Three high dynamic UAVs are simulated with synchronized Doppler measurement broadcasted in parallel channels to the control center for global information fusion. Interesting results are obtained, with the superiority of certain classes of higher-degree quadrature information filters.http://www.mdpi.com/2226-4310/5/1/28target trackingKalman filteringmulti-sensor fusioninformation fusionhigh-degree cubatureGauss–Hermite quadratureDoppler shiftmulti-UAV |
| spellingShingle | Hamza Benzerrouk Alexander Nebylov Meng Li Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters Aerospace target tracking Kalman filtering multi-sensor fusion information fusion high-degree cubature Gauss–Hermite quadrature Doppler shift multi-UAV |
| title | Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters |
| title_full | Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters |
| title_fullStr | Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters |
| title_full_unstemmed | Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters |
| title_short | Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters |
| title_sort | multi uav doppler information fusion for target tracking based on distributed high degrees information filters |
| topic | target tracking Kalman filtering multi-sensor fusion information fusion high-degree cubature Gauss–Hermite quadrature Doppler shift multi-UAV |
| url | http://www.mdpi.com/2226-4310/5/1/28 |
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