Open AccessAN INTEGRATED AIRCRAFT NAVIGATION SYSTEM WITH OPTICAL HORIZON SENSOR
Author(s) -
Mohamed Rahmouni,
Julia Malysheva
Publication year - 2012
Publication title -
aviation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 13
eISSN - 1822-4180
pISSN - 1648-7788
DOI - 10.3846/16487788.2012.753681
Subject(s) - kalman filter , inertial navigation system , horizon , navigation system , computer vision , line (geometry) , computer science , inertial frame of reference , artificial intelligence , moving horizon estimation , over the horizon radar , engineering , extended kalman filter , aerospace engineering , mathematics , radar , physics , geometry , quantum mechanics
An integration algorithm for a strapdown inertial navigation system with optical horizon sensor based on Kalman filtering is presented. It allows the accuracy of the estimation of aircraft motion parameters to be improved. A self-contained horizon recognition algorithm for the video sequence that enables real-time aircraft attitude determination relative to the horizon line is developed. A scaled-down simulation and performance analysis of the operation of the integrated navigation system is carried out.