A multi-sensor Bayesian tracking algorithm fuses active device-to-anchor and passive anchor-to-anchor radio measurements using an extended object model and multi-measurement PDA to handle obstructed line-of-sight conditions.
Probabilistic data association for tracking extended targets under clutter using random matrices,
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Multi-Sensor Fusion for Extended Object Tracking Exploiting Active and Passive Radio Signals
A multi-sensor Bayesian tracking algorithm fuses active device-to-anchor and passive anchor-to-anchor radio measurements using an extended object model and multi-measurement PDA to handle obstructed line-of-sight conditions.