A sequential Bayesian optimization framework couples monostatic sensing and bistatic positioning via a shared beamformer to achieve centimeter-level accuracy for mobile users and passive targets while estimating velocity.
Localization accuracy improvement in multistatic isac with los/nlos condition using 5g nr signals,
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Joint Mobile User Positioning and Passive Target Sensing using Optimized Sequential Beamforming
A sequential Bayesian optimization framework couples monostatic sensing and bistatic positioning via a shared beamformer to achieve centimeter-level accuracy for mobile users and passive targets while estimating velocity.