Measurement driven birth model for the generalized labeled multi-Bernoulli filter
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866918428315484160 |
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| author | Lin, S Vo, BT Nordholm, SE |
| author_facet | Lin, S Vo, BT Nordholm, SE |
| contents | This paper presents a measurement driven birth (MDB) model for the generalized labeled multi-Bernoulli (GLMB) filter. The MDB model adaptively generates target births based on measurement data, thereby eliminating the dependence of \textit{a priori} knowledge of target birth distributions. Numerical results are provided to demonstrate the performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_03918 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Measurement driven birth model for the generalized labeled multi-Bernoulli filter Lin, S Vo, BT Nordholm, SE Signal Processing This paper presents a measurement driven birth (MDB) model for the generalized labeled multi-Bernoulli (GLMB) filter. The MDB model adaptively generates target births based on measurement data, thereby eliminating the dependence of \textit{a priori} knowledge of target birth distributions. Numerical results are provided to demonstrate the performance. |
| title | Measurement driven birth model for the generalized labeled multi-Bernoulli filter |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2604.03918 |