2025/04/01 by Benjamin J. B. Deutschmann, Peter Vouras, Deutschmann, Benjamin J. B. +1 · 2 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Cellular Automata and Applications #Cooperative Communication and Network Coding #DNA and Biological Computing
paper · pdf · doi:10.1109/cisa64343.2025.11091572
Sensing and imaging with distributed radio infrastructures (e.g., distributed MIMO, wireless sensor networks, multi-static radar) rely on knowledge of the positions, orientations, and clock parameters of distributed apertures. We extend a particle-based loopy belief propagation (BP) algorithm to cooperatively synchronize distributed agents to anchors in space and time. Substituting marginalization over nuisance parameters with approximate but closed-form concentration, we derive an efficient estimator that bypasses the need for preliminary channel estimation and operates directly on noisy channel observations. Our algorithm demonstrates scalable, accurate spatiotemporal synchronization on simulated data.