Networked Tracking of Multiple Moving Targets in 6G Network
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908984860999680 |
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| author | Hu, Yanmo Zhu, Weifeng Wu, Chenshu Zhang, Shuowen Zhang, J. Andrew Liu, Liang |
| author_facet | Hu, Yanmo Zhu, Weifeng Wu, Chenshu Zhang, Shuowen Zhang, J. Andrew Liu, Liang |
| contents | This paper considers a networked tracking architecture in 6G integrated sensing and communication (ISAC) systems, where multiple base stations (BSs) cooperatively transmit radio signals and process received echo signals to track multiple moving targets. Compared to the single-BS counterpart, networked tracking allows the moving targets to be associated with different BSs over time such that the wireless resources can be dynamically allocated among BSs based on target locations. However, networked tracking imposes new challenges for algorithm design and resource allocation. In this paper, we first design the networked Kalman Filter (NKF) that is suitable for multi-BS based tracking, then characterize the posterior Cramer-Rao bound (PCRB) under this NKF, and last design the beamforming vectors of all the BSs to minimize the tracking PCRB. Numerical results show that our dynamic beamforming design can properly associate the targets to the suitable BSs at various sensing blocks and reduce the tracking mean-squared error (MSE). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_19709 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Networked Tracking of Multiple Moving Targets in 6G Network Hu, Yanmo Zhu, Weifeng Wu, Chenshu Zhang, Shuowen Zhang, J. Andrew Liu, Liang Signal Processing Information Theory This paper considers a networked tracking architecture in 6G integrated sensing and communication (ISAC) systems, where multiple base stations (BSs) cooperatively transmit radio signals and process received echo signals to track multiple moving targets. Compared to the single-BS counterpart, networked tracking allows the moving targets to be associated with different BSs over time such that the wireless resources can be dynamically allocated among BSs based on target locations. However, networked tracking imposes new challenges for algorithm design and resource allocation. In this paper, we first design the networked Kalman Filter (NKF) that is suitable for multi-BS based tracking, then characterize the posterior Cramer-Rao bound (PCRB) under this NKF, and last design the beamforming vectors of all the BSs to minimize the tracking PCRB. Numerical results show that our dynamic beamforming design can properly associate the targets to the suitable BSs at various sensing blocks and reduce the tracking mean-squared error (MSE). |
| title | Networked Tracking of Multiple Moving Targets in 6G Network |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2604.19709 |