Distributed particle filtering in agent networks: A survey, classification, and comparison

O. Hlinka, F. Hlawatsch, P. M. Djuric
2013 IEEE Signal Processing Magazine  
D istributed particle filter (DPF) algorithms are sequential state estimation algorithms that are executed by a set of agents. Some or all of the agents perform local particle filtering and interact with other agents in order to calculate a global state estimate. DPF algorithms are attractive for large-scale, nonlinear, and non-Gaussian distributed estimation problems that often occur in applications involving agent networks (ANs). In this article, we present a survey, classification, and
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doi:10.1109/msp.2012.2219652 fatcat:eerflid3zrdalj2wauhw2vasga