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Multi-target Tracking in Clustered Sensor Networks Based on Labeled Multi-Bernoulli Filtering
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DOI：10.1016/j.isatra.2025.07.042.png)
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Abstract
En 中文
• Association hypotheses are constructed to handle multi-sensor measurements. • Improved LMB filter is designed to achieve local multi-target tracking of CH. • Non-feedback structures are built to handle multiple local tracking results
Keywords:
multi-sensor measurements
improved LMB filter
local multi-target tracking
non-feedback structures
CH
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