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In order to satisfy the request of real-time response, an improved unscented Kalman filter (UKF) is studied for the projectile's attitude determination in this paper. The inertial measurement unit (IMU) used to determinate the attitude of projectile is composed of only five low-cost micro electro-mechanical system (MEMS) accelerometers. A sensor measurement data fusion scheme is designed including...
In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers...
In order to restrain the influence of random disturbance on the attitude determination of in-motion rolling projectile, a new hybrid filtering algorithm, which combines unscented Kalman filter (UKF) with improved adaptive BP neural network based on particle swarm optimization (PSO), is proposed. When the attitude determination of rolling projectile is influenced by random disturbance, the output of...
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