EE 6063 - Integrated Navigation Systems

Theoretical development of positioning and navigation with multiple sensors; basics of estimation theory; classical versus Bayesian estimators; complementary filters, least squares estimators, Kalman filters and particle filters used for navigation purposes; application examples including GPS/INS integration and integration of INS with electro-optical sensors; fault detection and isolation.

Requisites

Credit Hours: 3.0
Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Eligible grades: A-F,WP,WF,FN,FS,AU,I