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3 papers
Optimizing Reweighted Belief Propagation for Distributed Likelihood Fusion Problems
Christopher Lindberg, Julien M. Hendrickx, Henk Wymeersch
Belief propagation (BP) is a powerful tool to solve distributed inference problems, though it is limited by short cycles in the corresponding factor graph. Such cycles may lead to…
Multisensor Poisson Multi-Bernoulli Filter for Joint Target-Sensor State Tracking
Markus Fröhle, Christopher Lindberg, Karl Granström +1
In a typical multitarget tracking (MTT) scenario, the sensor state is either assumed known, or tracking is performed in the sensor's (relative) coordinate frame. This assumption do…
Distributed Compressed Sensing for Sensor Networks with Packet Erasures
Christopher Lindberg, Alexandre Graell i Amat, Henk Wymeersch
We study two approaches to distributed compressed sensing for in-network data compression and signal reconstruction at a sink in a wireless sensor network where sensors are placed…