Principles of integrated navigation and optimal estimation theory are discussed. The complexity of navigation system requirements is described, and a comprehensive system design approach is presented. The paper concludes by looking at specific issues which arise in testing integrated navigation systems. The paper is biased towards military vehicle navigation. However the potential for application in commercial vehicles will be evident. (16 pages)
Navigation systems integration
1998-01-01
1 pages
Article (Journal)
English
combined INS/GPS , sensor fusion , comprehensive system design approach , state vector model , simulator system , integrated navigation , inertial navigation , Kalman filters , navigation systems integration , truth model , aircraft navigation , predictor-corrector methods , system requirements complexity , covariance matrix , testing issues , multiple sensors , Global Positioning System , avionics , aerospace simulation , covariance matrices , state estimation , mission profiles , predictor-corrector algorithm , airborne navigation systems , synergy , military vehicle navigation , Kalman filter , optimal estimation theory , hardware/software in the loop testing
Navigation systems integration
IET Digital Library Archive | 1997
|Navigation and Communications Systems Integration
British Library Conference Proceedings | 1994
|Optimum Integration of Aircraft Navigation Systems
IEEE | 1969
|Integration of car navigation systems and TMC
Automotive engineering | 1995
|