The unscented Kalman filter for nonlinear estimation

IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC 2000

Volumn , Issue , 2000, Pages 153-158

  Wan, E A ^a   Van Der Merwe, R ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; BANDPASS FILTERS; BEARINGS (MACHINE PARTS); COMPLEX NETWORKS; EXTENDED KALMAN FILTERS; KALMAN FILTERS; LEARNING SYSTEMS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; SIGNAL PROCESSING;

DETERMINISTIC SAMPLING APPROACH; GAUSSIAN RANDOM VARIABLE; MACHINE LEARNING PROBLEM; NON-LINEAR ESTIMATION; STATE DISTRIBUTIONS; SUB-OPTIMAL PERFORMANCE; TAYLOR SERIES EXPANSIONS; UNSCENTED KALMAN FILTER;

NONLINEAR ANALYSIS;

EID: 84962432583     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASSPCC.2000.882463     Document Type: Conference Paper

References (13)

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