Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases
To mitigate the negative effects of the sensor measurement biases for the maneuvering target, a novel incremental center differential Kalman filter (ICDKF) algorithm is proposed. Based on the principle of independent incremental random process, the incremental measurement equation is modeled to prep...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8519734/ |
| _version_ | 1818331648738983936 |
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| author | Tai-Shan Lou Ning Yang Yan Wang Nan-Hua Chen |
| author_facet | Tai-Shan Lou Ning Yang Yan Wang Nan-Hua Chen |
| author_sort | Tai-Shan Lou |
| collection | DOAJ |
| description | To mitigate the negative effects of the sensor measurement biases for the maneuvering target, a novel incremental center differential Kalman filter (ICDKF) algorithm is proposed. Based on the principle of independent incremental random process, the incremental measurement equation is modeled to preprocess the sensor measurement biases. Then, a general ICDKF algorithm is proposed by augmenting the process and measurement noises into the state vector to mitigate the negative effects of the sensor biases. For the system with additive noises, an additive ICDKF algorithm is derived by introducing the incremental measurement equation to reduce the measurement biases. Numerical simulations for four types of sensor biases are designed to demonstrate that the proposed ICDKF can effectively mitigate the measurement biases compared to the CDKF. |
| first_indexed | 2024-12-13T13:23:12Z |
| format | Article |
| id | doaj.art-bb12af083bc84470bb26f80ca6826cf0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:23:12Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb12af083bc84470bb26f80ca6826cf02022-12-21T23:44:21ZengIEEEIEEE Access2169-35362018-01-016662856629210.1109/ACCESS.2018.28791188519734Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated BiasesTai-Shan Lou0https://orcid.org/0000-0002-0624-6912Ning Yang1Yan Wang2Nan-Hua Chen3School of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaSchool of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaSchool of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaSchool of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, ChinaTo mitigate the negative effects of the sensor measurement biases for the maneuvering target, a novel incremental center differential Kalman filter (ICDKF) algorithm is proposed. Based on the principle of independent incremental random process, the incremental measurement equation is modeled to preprocess the sensor measurement biases. Then, a general ICDKF algorithm is proposed by augmenting the process and measurement noises into the state vector to mitigate the negative effects of the sensor biases. For the system with additive noises, an additive ICDKF algorithm is derived by introducing the incremental measurement equation to reduce the measurement biases. Numerical simulations for four types of sensor biases are designed to demonstrate that the proposed ICDKF can effectively mitigate the measurement biases compared to the CDKF.https://ieeexplore.ieee.org/document/8519734/Center differential Kalman filterincremental measurement equationtarget trackingsystematic biasoffset bias |
| spellingShingle | Tai-Shan Lou Ning Yang Yan Wang Nan-Hua Chen Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases IEEE Access Center differential Kalman filter incremental measurement equation target tracking systematic bias offset bias |
| title | Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases |
| title_full | Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases |
| title_fullStr | Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases |
| title_full_unstemmed | Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases |
| title_short | Target Tracking Based on Incremental Center Differential Kalman Filter With Uncompensated Biases |
| title_sort | target tracking based on incremental center differential kalman filter with uncompensated biases |
| topic | Center differential Kalman filter incremental measurement equation target tracking systematic bias offset bias |
| url | https://ieeexplore.ieee.org/document/8519734/ |
| work_keys_str_mv | AT taishanlou targettrackingbasedonincrementalcenterdifferentialkalmanfilterwithuncompensatedbiases AT ningyang targettrackingbasedonincrementalcenterdifferentialkalmanfilterwithuncompensatedbiases AT yanwang targettrackingbasedonincrementalcenterdifferentialkalmanfilterwithuncompensatedbiases AT nanhuachen targettrackingbasedonincrementalcenterdifferentialkalmanfilterwithuncompensatedbiases |