Erik Sausa

Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking

We propose a communication-efficient scheme for distributed Bayesian target tracking (distributed particle filtering) in possibly nonlinear and non-Gaussian state-space models. The scheme is a sparsity-promoting evolution of the likelihood consensus (LC) that uses the orthogonal matching pursuit (OM…