Adaptive filtering algorithms enhance the accuray of low-cost inertial/ magnetic sensing in pedestrian navigation systems

International Journal of Computational Intelligence and Applications

Volumn 7, Issue 3, 2008, Pages 351-361

  Sabatini, Angelo Maria ^a  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

Author keywords

Adaptive filtering; Inertial magnetic sensing; Pedestrian navigation

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; APPROXIMATION THEORY; BIOMECHANICS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; COVARIANCE MATRIX; ELECTROMAGNETIC FIELD EFFECTS; EXTENDED KALMAN FILTERS; MAGNETIC FIELD EFFECTS; MAGNETIC FIELDS; MAGNETIC MATERIALS; MAGNETIC SENSORS; MAGNETISM; NAVIGATION; NAVIGATION SYSTEMS; POSITION CONTROL; SENSORS; SIGNAL FILTERING AND PREDICTION;

ADAPTIVE FILTERING ALGORITHMS; BODY MOTIONS; BODY PARTS; DAILY LIVINGS; EARTH'S MAGNETIC FIELDS; ENABLING TECHNOLOGIES; EXTERNAL MAGNETIC FIELDS; FILTERING ALGORITHMS; FORM FACTORS; HUMAN SUBJECTS; IN LINES; INERTIAL/MAGNETIC SENSING; LOW COSTS; MAGNETIC SENSING; MAGNETIC VECTORS; MEASUREMENT NOISE COVARIANCE MATRIXES; PEDESTRIAN NAVIGATION; PEDESTRIAN NAVIGATION SYSTEMS; POSITIONING PERFORMANCE; POWER CONSUMPTION; VALIDATION TESTS;

ADAPTIVE ALGORITHMS;

EID: 59149097720     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S1469026808002326     Document Type: Article

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