ATTITUDE estimation involves a two-part process: 1) estimation of a vehicle's orientation
from body measurements and known reference observations, such as line-of-sight …

The classical sigma-point Kalman filter (SPKF) is widely used in a spacecraft state
estimation area with the Gaussian white noise hypothesis. The actual sensor noise is often …

Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial
vehicle (UAV) development, where attitude estimation plays a key role in flight control …

One of the critical challenges in spacecraft attitude estimation is the handling nonlinear non-
Gaussian noisy conditions originating from measurement errors, model drifts, and incorrect …

This paper formulates the attitude filtering problem as a nonlinear stochastic filter problem
evolved directly on the Special Orthogonal Group 3 (SO (3)). One of the traditional potential …

This paper provides a survey of modern nonlinear filtering methods for attitude estimation.
Early applications relied mostly on the extended Kalman filter for attitude estimation. Since …

Transfer alignment is the process of initializing the navigation sensors of tactical guided
munitions launched from a platform. Through this method the misalignment between …

SPACECRAFT attitude estimation is the process of determining the orientation of the
spacecraft with respect to a reference frame. Many nonlinear filtering methods have been …

The QUEST measurement noise model for unit vector observations has been widely used in
spacecraft attitude estimation for more than twenty years. It was derived under the …

An adaptive gradient descent algorithm (AGDA) based on a fuzzy system is proposed to
improve the attitude estimation accuracy and adaptability of unmanned underwater vehicles …