Recursive Bayesian method for magnetic dipole tracking with a tensor gradiometer

IEEE Transactions on Magnetics

Volumn 47, Issue 2 PART 2, 2011, Pages 409-415

  Birsan, Marius ^a  

^a DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

Bayes procedures; Inverse problems; Tracking

Indexed keywords

BAYES PROCEDURE; BAYESIAN ESTIMATIONS; BAYESIAN METHODS; CURVED TRACK; DIRECT INVERSION; DYNAMIC SYSTEMS; GRADIENT TENSORS; GRADIOMETERS; HIGHLY SENSITIVE; MAGNETIC DIPOLE; MAGNETIC GRADIENT TENSOR; MAGNETIC SOURCES; MEASUREMENT TIME; PARTICLE FILTER; POSTERIOR DISTRIBUTIONS; PRIOR DISTRIBUTION; RECURSIVE APPROACH; RECURSIVE METHODS; SEQUENTIAL MONTE CARLO; STATE VARIABLES; TARGET POSITION; TEMPORAL NOISE; TRACKING; TRACKING AND CLASSIFICATION; UNKNOWN PARAMETERS; UNSCENTED KALMAN FILTER;

ALGORITHMS; BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; MAGNETIC MOMENTS; NONLINEAR FILTERING; TARGET TRACKING; TENSORS;

INVERSE PROBLEMS;

EID: 79251472438     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2010.2091964     Document Type: Article

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