Low cost two dimension navigation using an augmented Kalman filter/Fast Orthogonal Search module for the integration of reduced inertial sensor system and Global Positioning System

Transportation Research Part C: Emerging Technologies

Volumn 19, Issue 6, 2011, Pages 1111-1132

  Shen, Zhi ^a   Georgy, Jacques ^b,c,d   Korenberg, Michael J ^a   Noureldin, Aboelmagd ^a,b  

^a QUEEN S UNIVERSITY   (Canada)

^b ROYAL MILITARY COLLEGE OF CANADA   (Canada)

^c Invensense Inc   (United States)

^d The British University in Egypt   (Egypt)

Author keywords

Fast Orthogonal Search; GPS; Inertial navigation system; Inertial sensors; Kalman filter; Land vehicle navigation

Indexed keywords

COST REDUCTION; DATA FUSION; ERRORS; INERTIAL NAVIGATION SYSTEMS; INTEGRATION; KALMAN FILTERS; MEMS; MICROELECTROMECHANICAL DEVICES; NONLINEAR SYSTEMS; NUMERICAL METHODS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; VEHICLES;

AUGMENTED KALMAN FILTERS; COMPLEMENTARY CHARACTERISTICS; FAST ORTHOGONAL SEARCHES; INERTIAL MEASUREMENT UNIT; INERTIAL SENSOR; LAND VEHICLE NAVIGATION; MICRO ELECTROMECHANICAL SYSTEM (MEMS); NON-LINEAR SYSTEM IDENTIFICATION;

GLOBAL POSITIONING SYSTEM;

ACCURACY ASSESSMENT; ALGORITHM; ERROR ANALYSIS; GPS; KALMAN FILTER; NAVIGATION; NONLINEARITY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; REAL TIME; SENSOR; STOCHASTICITY;

EID: 80052717958     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2011.01.001     Document Type: Article

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