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Volumn , Issue , 2012, Pages 294-297
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A low-complexity data-fusion algorithm based on adaptive weighting for location estimation
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Author keywords
Bayesian approach; data fusion; error propagation; Kalman filtering; location estimation; tracking
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Indexed keywords
ADAPTIVE WEIGHTING;
BAYESIAN APPROACHES;
COMPUTATIONAL LOADS;
DATA-FUSION ALGORITHMS;
ERROR PROPAGATION;
ERROR PROPAGATION LAW;
KALMAN-FILTERING;
LOCATION ACCURACY;
LOCATION ESTIMATION;
LOW-COMPLEXITY;
SPEED SENSING;
STATE - SPACE MODELS;
TRACKING SCHEME;
ALGORITHMS;
BAYESIAN NETWORKS;
DATA FUSION;
INTELLIGENT CONTROL;
KALMAN FILTERS;
SECURITY OF DATA;
STATE SPACE METHODS;
SURFACE DISCHARGES;
ESTIMATION;
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EID: 84874453067
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ISIC.2012.6449764 Document Type: Conference Paper |
Times cited : (5)
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References (10)
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