ABSTRACT
This chapter provides a contribution to projectile attitude estimation using an extended Kalman filter (EKF) estimator. For technical and economical reasons, the only sensors that could be embedded on a projectile are accelerometers and magnetometers, so classical inertial measurement units (IMUs) based on rate gyroscope cannot be used. According to the sensors used onboard the projectile and the evolution model, an EKF is designed to estimate the roll angle, the attitude, and the position of the projectile. The chapter presents some simulation results on the navigation algorithms. It also presents the lab demonstration of the real time estimation of the roll angle of a projectile. To validate the estimation of the roll angle in real time, the projectile is mounted on a test bench to generate the roll rate. A light-emitting diode is installed on the projectile. A camera is placed perpendicularly to the projectile's main axis.
