High maneuvering target tracking ATPM-IMM algorithm
For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.Th...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022135/ |
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| _version_ | 1841539998706302976 |
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| author | Hao ZENG Wangqiang MU Shunping YANG |
| author_facet | Hao ZENG Wangqiang MU Shunping YANG |
| author_sort | Hao ZENG |
| collection | DOAJ |
| description | For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms. |
| format | Article |
| id | doaj-art-dcb361ec10b04560af877bba7ef7fe91 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-dcb361ec10b04560af877bba7ef7fe912025-01-14T06:29:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-07-01439310159394923High maneuvering target tracking ATPM-IMM algorithmHao ZENGWangqiang MUShunping YANGFor high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022135/maneuvering target trackinginteracting multiple model algorithmadaptive transition probabilityBayes theorem |
| spellingShingle | Hao ZENG Wangqiang MU Shunping YANG High maneuvering target tracking ATPM-IMM algorithm Tongxin xuebao maneuvering target tracking interacting multiple model algorithm adaptive transition probability Bayes theorem |
| title | High maneuvering target tracking ATPM-IMM algorithm |
| title_full | High maneuvering target tracking ATPM-IMM algorithm |
| title_fullStr | High maneuvering target tracking ATPM-IMM algorithm |
| title_full_unstemmed | High maneuvering target tracking ATPM-IMM algorithm |
| title_short | High maneuvering target tracking ATPM-IMM algorithm |
| title_sort | high maneuvering target tracking atpm imm algorithm |
| topic | maneuvering target tracking interacting multiple model algorithm adaptive transition probability Bayes theorem |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022135/ |
| work_keys_str_mv | AT haozeng highmaneuveringtargettrackingatpmimmalgorithm AT wangqiangmu highmaneuveringtargettrackingatpmimmalgorithm AT shunpingyang highmaneuveringtargettrackingatpmimmalgorithm |