Stochastic modeling of inertial sensor errors for loosely coupled INS /GPS integrated navigation system /
Abdalla Suliman Elhadi Kraza
Stochastic modeling of inertial sensor errors for loosely coupled INS /GPS integrated navigation system / النمذجة العشوائية لاخطاء مجسمات القصور الذاتى لنظام ملاحى متكامل باستخدام الاقمار الصناعية لانظمة القصور الذاتى Abdalla Suliman Elhadi Kraza ; Supervised Sayed Desouki Hasan , Gamal Mahmoud Elbayoumi , Mohamed Sayed Bayoumi - Cairo : Abdalla Suliman Elhadi Kraza , 2011 - 204 P. : charts , facsimiles ; 30cm
Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering
The aim of the thesis is to build and raise the efficiency of navigation system for air vehicles by using integrated navigation system which consists of Inertial Navigation System (INS) and Global Position System (GPS) .To raise the efficiency of the integrated navigation system it is necessary to model the stochastic sensor errors to be augmented in the strap down INS error model so that an integrated navigation system built using extended kalman filter
GPS INS Stochastic modeling
Stochastic modeling of inertial sensor errors for loosely coupled INS /GPS integrated navigation system / النمذجة العشوائية لاخطاء مجسمات القصور الذاتى لنظام ملاحى متكامل باستخدام الاقمار الصناعية لانظمة القصور الذاتى Abdalla Suliman Elhadi Kraza ; Supervised Sayed Desouki Hasan , Gamal Mahmoud Elbayoumi , Mohamed Sayed Bayoumi - Cairo : Abdalla Suliman Elhadi Kraza , 2011 - 204 P. : charts , facsimiles ; 30cm
Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering
The aim of the thesis is to build and raise the efficiency of navigation system for air vehicles by using integrated navigation system which consists of Inertial Navigation System (INS) and Global Position System (GPS) .To raise the efficiency of the integrated navigation system it is necessary to model the stochastic sensor errors to be augmented in the strap down INS error model so that an integrated navigation system built using extended kalman filter
GPS INS Stochastic modeling