[HTML][HTML] Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0

E Šauša, P Rajmic, F Hlawatsch - Signal Processing, 2024 - Elsevier
The likelihood consensus (LC) enables Bayesian target tracking in a decentralized sensor
network with possibly nonlinear and non-Gaussian sensor characteristics. Here, we propose …

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

E Šauša, P Rajmic, F Hlawatsch - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
We propose a communication-efficient scheme for distributed Bayesian target tracking
(distributed particle filtering) in possibly nonlinear and non-Gaussian state-space models …