Quantitative comparison between kalman filter and particle filter for low cost INS/GPS integration

2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009

Volumn , Issue , 2009, Pages

  Georgy, Jacques ^a   Iqbal, Umar ^a   Noureldin, Aboelmagd ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

GPS; Inertial sensors; Kalman filter; Particle filter; Positioning and navigation

Indexed keywords

COMPLEMENTARY CHARACTERISTICS; GPS; HIGH NOISE LEVELS; INERTIAL SENSOR; INERTIAL SENSORS; INHERENT ERRORS; INS/GPS INTEGRATION; KALMAN-FILTERING; LOW COSTS; MEMS INERTIAL SENSORS; MICROELECTROMECHANICAL SYSTEMS; MOTION DYNAMICS; MOVING PLATFORM; NOISE DISTRIBUTION; PARTICLE FILTER; PARTICLE FILTERING; QUANTITATIVE COMPARISON; ROAD TESTS; TECHNOLOGICAL ADVANCES; URBAN CANYONS;

AIR FILTERS; CONTROL THEORY; GLOBAL POSITIONING SYSTEM; KALMAN FILTERS; MECHATRONICS; MEMS; MICROELECTROMECHANICAL DEVICES; NAVIGATION; NONLINEAR FILTERING; SMART SENSORS;

INERTIAL NAVIGATION SYSTEMS;

EID: 70449627542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMA.2009.5164810     Document Type: Conference Paper

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