Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking
During the process of maneuvering target tracking, the measurement may be disturbed by outliers, which leads to a decrease in the state estimation performance of the classic interacting multiple-model (IMM) filter. To solve this problem, a weighted maximum correntropy criterion (WMCC)-based IMM filt...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/18/4513 |
| _version_ | 1797577230860156928 |
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| author | Liangliang Huai Bo Li Peng Yun Chao Song Jiayuan Wang |
| author_facet | Liangliang Huai Bo Li Peng Yun Chao Song Jiayuan Wang |
| author_sort | Liangliang Huai |
| collection | DOAJ |
| description | During the process of maneuvering target tracking, the measurement may be disturbed by outliers, which leads to a decrease in the state estimation performance of the classic interacting multiple-model (IMM) filter. To solve this problem, a weighted maximum correntropy criterion (WMCC)-based IMM filter is proposed. In the proposed filter, the fusion state is used as the input of each sub-model to reduce the computational complexity of state interaction and the WMCC is adopted to derive the sub-model state update and state fusion to improve the state estimation performance under outlier interference. Through principal analysis, the superiority of the proposed filter over the classic IMM filter in fusion strategy is revealed. The specific form of the proposed filter in radar maneuvering target tracking is provided. Two experimental cases of maneuvering target tracking are tested to illustrate the effectiveness of the proposed filter. |
| first_indexed | 2024-03-10T22:05:17Z |
| format | Article |
| id | doaj.art-479957a2368a420a9e27f6e8cb08175f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T22:05:17Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-479957a2368a420a9e27f6e8cb08175f2023-11-19T12:48:45ZengMDPI AGRemote Sensing2072-42922023-09-011518451310.3390/rs15184513Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target TrackingLiangliang Huai0Bo Li1Peng Yun2Chao Song3Jiayuan Wang4School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaAVIC Leihua Electronic Technology Research Institute, Wuxi 214063, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaAVIC Leihua Electronic Technology Research Institute, Wuxi 214063, ChinaDuring the process of maneuvering target tracking, the measurement may be disturbed by outliers, which leads to a decrease in the state estimation performance of the classic interacting multiple-model (IMM) filter. To solve this problem, a weighted maximum correntropy criterion (WMCC)-based IMM filter is proposed. In the proposed filter, the fusion state is used as the input of each sub-model to reduce the computational complexity of state interaction and the WMCC is adopted to derive the sub-model state update and state fusion to improve the state estimation performance under outlier interference. Through principal analysis, the superiority of the proposed filter over the classic IMM filter in fusion strategy is revealed. The specific form of the proposed filter in radar maneuvering target tracking is provided. Two experimental cases of maneuvering target tracking are tested to illustrate the effectiveness of the proposed filter.https://www.mdpi.com/2072-4292/15/18/4513outlier interferenceinteractive multiple modelweighted maximum correntropy criterionmaneuvering target tracking |
| spellingShingle | Liangliang Huai Bo Li Peng Yun Chao Song Jiayuan Wang Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking Remote Sensing outlier interference interactive multiple model weighted maximum correntropy criterion maneuvering target tracking |
| title | Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking |
| title_full | Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking |
| title_fullStr | Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking |
| title_full_unstemmed | Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking |
| title_short | Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking |
| title_sort | weighted maximum correntropy criterion based interacting multiple model filter for maneuvering target tracking |
| topic | outlier interference interactive multiple model weighted maximum correntropy criterion maneuvering target tracking |
| url | https://www.mdpi.com/2072-4292/15/18/4513 |
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