RF Belief Inference & LOCUS-DT

Thu, 01 Jan 2026 00:00:00 +0000

I develop posterior RF localization methods that preserve competing transmitter-location hypotheses instead of collapsing wireless observations into a single point estimate. This line includes MC-CLE for candidate-likelihood posterior inference and LOCUS-DT, which uses ray-tracing wireless digital twins as candidate-indexed multipath libraries for site-agnostic, layout-aware uncertainty scoring.

MC-CLE uses the ray-tracing scene, receiver pose geometry, and channel signature to score candidate transmitter locations and produce a posterior belief map.

The LOCUS-DT heatmaps show how digital-twin likelihoods preserve multipath-driven spatial hypotheses, while simpler Gaussian baselines tend to smooth out the uncertainty structure.

Related papers

(Asilomar, under review; arXiv preprint)
(IEEE TSP, under review)
(IEEE GLOBECOM, under review)
(IEEE TWC, under review)

Digital Twins | Haozhe Lei

RF Belief Inference & LOCUS-DT