Error Propagation in Gossip-Based Distributed Particle Filters
IEEE Transactions on Signal and Information Processing over Networks(2015)
摘要
This paper examines the impact of the gossip procedure on distributed particle filters that employ averaging to estimate the global likelihood function. We consider a model where a gossip-driven algorithm leads to the use of a slightly distorted version of the likelihood function, in lieu of its true value. Under standard regularity conditions, and a mild assumption on the true likelihood function...
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关键词
Approximation methods,Approximation algorithms,Markov processes,Atmospheric measurements,Particle measurements,Time measurement,Information processing
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