Likelihood consensus: Principles and application to distributed particle filtering

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2010, Pages 349-353

  Hlinka, Ondrej ^a   Slučiak, Ondrej ^a   Hlawatsch, Franz ^a   Djurić, Petar M ^b   Rupp, Markus ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b Stony Brook University   (United States)

Author keywords

Bayesian estimation; consensus algorithm; distributed particle filter; target tracking; Wireless sensor network

Indexed keywords

BAYESIAN ESTIMATIONS; CONSENSUS ALGORITHM; CONSENSUS ALGORITHMS; CONSENSUS METHODS; DISTRIBUTED METHODS; DISTRIBUTED PARTICLE FILTER; DISTRIBUTED PARTICLES; GLOBAL STATE; ITERATIVE CALCULATION; LIKELIHOOD FUNCTIONS; PARTICLE FILTER; SUFFICIENT STATISTICS; TRACKING PROBLEM;

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; CONVERGENCE OF NUMERICAL METHODS; NONLINEAR FILTERING; SENSORS; TARGET TRACKING; WIRELESS SENSOR NETWORKS;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 79957980280     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2010.5757533     Document Type: Conference Paper

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