The variational message passing framework performs direct multi-object tracking on raw radar signals from MIMO systems, outperforming conventional detect-then-track pipelines in low-SNR simulations.
Sequential detection and estimation of multipath channel parameters using belief propaga- tion
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An extended MP-SLAM framework stores high-quality map features from prior runs in a global repository and re-uses them via a PHD filter to achieve robust RF localization in dense urban LTE scenarios with heavy multipath and interference.
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A Variational Message Passing Framework for Multi-Sensor Multi-Object Tracking using Raw Radar Signals
The variational message passing framework performs direct multi-object tracking on raw radar signals from MIMO systems, outperforming conventional detect-then-track pipelines in low-SNR simulations.
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Robust Localization in Modern Cellular Networks using Global Map Features
An extended MP-SLAM framework stores high-quality map features from prior runs in a global repository and re-uses them via a PHD filter to achieve robust RF localization in dense urban LTE scenarios with heavy multipath and interference.