From airplanes, drones, to autonomous vehicles, GNSS-aided inertial navigation systems are bringing new conveniences to modern society. This course includes the principles of inertial navigation and its integration with GPS, coordinate frames, modeling linear motion and rotational motion, mechanization of inertial navigation sensor measurements, space state representation of system errors, linear state equations, and practical Kalman filter techniques.
Spring semester, 3 credits.
Course Prerequisites: Measurement Science SUR 3520 and Geodesy and Geodetic Positioning SUR 4530, or instructor consent. This course requires a background in differential and integral calculus and matrix algebra.
