A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating
A labeled multi-Bernoulli filter is used to obtain estimates of the identities and states of targets in complex environments. However, when tracking multiple targets in dense clutters, the computational complexity of the traditional labeled multi-Bernoulli filter will increase exponentially. A label...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | IET Signal Processing |
| Online Access: | http://dx.doi.org/10.1049/2024/1994552 |
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| _version_ | 1832568853851275264 |
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| author | Yuhan Song Han Shen-Tu Junhao Lin Yizhen Wei Yunfei Guo |
| author_facet | Yuhan Song Han Shen-Tu Junhao Lin Yizhen Wei Yunfei Guo |
| author_sort | Yuhan Song |
| collection | DOAJ |
| description | A labeled multi-Bernoulli filter is used to obtain estimates of the identities and states of targets in complex environments. However, when tracking multiple targets in dense clutters, the computational complexity of the traditional labeled multi-Bernoulli filter will increase exponentially. A labeled multi-Bernoulli tracking algorithm based on maximum likelihood recursive update is proposed, which can reduce the computational scale while maintaining tracking accuracy. Specifically, when performing posterior estimation, a maximum likelihood recursive update method is proposed to replace the complete enumeration, truncated enumeration, or sampling enumeration methods used in many traditional methods. Furthermore, combined with the Gaussian mixture technique, a maximum likelihood recursive updating labeled multi-Bernoulli tracking algorithm is constructed. Simulation results demonstrated that the proposed filter obtained a good balance between the tracking accuracy and computational efficiency. |
| format | Article |
| id | doaj-art-8790557ef5c24e4ca8760a6541aac4b3 |
| institution | Kabale University |
| issn | 1751-9683 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-8790557ef5c24e4ca8760a6541aac4b32025-02-03T00:20:44ZengWileyIET Signal Processing1751-96832024-01-01202410.1049/2024/1994552A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive UpdatingYuhan Song0Han Shen-Tu1Junhao Lin2Yizhen Wei3Yunfei Guo4Institution of Information and ControlInstitution of Information and ControlInstitution of Information and ControlHangzhou Guangli TechnologyInstitution of Information and ControlA labeled multi-Bernoulli filter is used to obtain estimates of the identities and states of targets in complex environments. However, when tracking multiple targets in dense clutters, the computational complexity of the traditional labeled multi-Bernoulli filter will increase exponentially. A labeled multi-Bernoulli tracking algorithm based on maximum likelihood recursive update is proposed, which can reduce the computational scale while maintaining tracking accuracy. Specifically, when performing posterior estimation, a maximum likelihood recursive update method is proposed to replace the complete enumeration, truncated enumeration, or sampling enumeration methods used in many traditional methods. Furthermore, combined with the Gaussian mixture technique, a maximum likelihood recursive updating labeled multi-Bernoulli tracking algorithm is constructed. Simulation results demonstrated that the proposed filter obtained a good balance between the tracking accuracy and computational efficiency.http://dx.doi.org/10.1049/2024/1994552 |
| spellingShingle | Yuhan Song Han Shen-Tu Junhao Lin Yizhen Wei Yunfei Guo A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating IET Signal Processing |
| title | A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating |
| title_full | A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating |
| title_fullStr | A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating |
| title_full_unstemmed | A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating |
| title_short | A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating |
| title_sort | labeled multi bernoulli filter based on maximum likelihood recursive updating |
| url | http://dx.doi.org/10.1049/2024/1994552 |
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