A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar
Space-based radar systems offer significant advantages for air surveillance, including wide-area coverage and extended early-warning capabilities. The integrated design of detection and imaging in space-based wideband radar further enhances its accuracy. However, in the wideband tracking mode, large...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/14/2360 |
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| author | Linlin Fang Yuxin Hu Lihua Zhong Lijia Huang |
| author_facet | Linlin Fang Yuxin Hu Lihua Zhong Lijia Huang |
| author_sort | Linlin Fang |
| collection | DOAJ |
| description | Space-based radar systems offer significant advantages for air surveillance, including wide-area coverage and extended early-warning capabilities. The integrated design of detection and imaging in space-based wideband radar further enhances its accuracy. However, in the wideband tracking mode, large aircraft targets exhibit extended characteristics. Measurements from the same target cross multiple range resolution cells. Additionally, the nonlinear observation model and uncertain measurement noise characteristics under space-based long-distance observation substantially increase the tracking complexity. To address these challenges, we propose a robust aerial target tracking method for space-based wideband radar applications. First, we extend the observation model of the gamma Gaussian inverse Wishart probability hypothesis density filter to three-dimensional space by incorporating a spherical–radial cubature rule for improved nonlinear filtering. Second, variational Bayesian processing is integrated to enable the joint estimation of the target state and measurement noise parameters, and a recursive process is derived for both Gaussian and Student’s t-distributed measurement noise, enhancing the method’s robustness against noise uncertainty. Comprehensive simulations evaluating varying target extension parameters and noise conditions demonstrate that the proposed method achieves superior tracking accuracy and robustness. |
| format | Article |
| id | doaj-art-b859c8ef7a6e48e3ae42a333a26d41af |
| institution | Matheson Library |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-b859c8ef7a6e48e3ae42a333a26d41af2025-07-25T13:35:07ZengMDPI AGRemote Sensing2072-42922025-07-011714236010.3390/rs17142360A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband RadarLinlin Fang0Yuxin Hu1Lihua Zhong2Lijia Huang3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSpace-based radar systems offer significant advantages for air surveillance, including wide-area coverage and extended early-warning capabilities. The integrated design of detection and imaging in space-based wideband radar further enhances its accuracy. However, in the wideband tracking mode, large aircraft targets exhibit extended characteristics. Measurements from the same target cross multiple range resolution cells. Additionally, the nonlinear observation model and uncertain measurement noise characteristics under space-based long-distance observation substantially increase the tracking complexity. To address these challenges, we propose a robust aerial target tracking method for space-based wideband radar applications. First, we extend the observation model of the gamma Gaussian inverse Wishart probability hypothesis density filter to three-dimensional space by incorporating a spherical–radial cubature rule for improved nonlinear filtering. Second, variational Bayesian processing is integrated to enable the joint estimation of the target state and measurement noise parameters, and a recursive process is derived for both Gaussian and Student’s t-distributed measurement noise, enhancing the method’s robustness against noise uncertainty. Comprehensive simulations evaluating varying target extension parameters and noise conditions demonstrate that the proposed method achieves superior tracking accuracy and robustness.https://www.mdpi.com/2072-4292/17/14/2360space-based radaraerial extended target trackingnonlinear filteringvariational Bayesian |
| spellingShingle | Linlin Fang Yuxin Hu Lihua Zhong Lijia Huang A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar Remote Sensing space-based radar aerial extended target tracking nonlinear filtering variational Bayesian |
| title | A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar |
| title_full | A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar |
| title_fullStr | A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar |
| title_full_unstemmed | A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar |
| title_short | A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar |
| title_sort | robust tracking method for aerial extended targets with space based wideband radar |
| topic | space-based radar aerial extended target tracking nonlinear filtering variational Bayesian |
| url | https://www.mdpi.com/2072-4292/17/14/2360 |
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