Configurable inertial navigation system with dual extended kalman filter modes
作者： Darren S. Liccardo
DOI:
关键词: Fast Kalman filter 、 Inertial navigation system 、 Navigation system 、 State (computer science) 、 Control theory 、 Dual (category theory) 、 Computer vision 、 Artificial intelligence 、 Inertial frame of reference 、 Extended Kalman filter 、 Computer science
摘要: A system and method for more accurately robustly estimating navigation state of a vehicle by adaptively processing signals from an inertial sensor assembly other sensors. receives two or sensors to evaluate correct the attitude estimated Extended Kalman Filter (EKF). The selects assemblies processes selected in conjunction with estimates module obtain accurate attitude. parameters conditions using certain may be adjusted based on characteristics configuration vehicle.
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