This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter
with results obtained by the Extended Kalman Filter and Unscented Kalman Filter. Currently …

This paper is concerned with the adaptive robust cubature Kalman filtering problem for the
case that the dynamics model error and the measurement model error exist simultaneously …

In normal working conditions it is possible to achieve sufficient attitude estimation accuracy
for a satellite using regular Kalman filter algorithm. On the other hand, when there is a fault …

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 …

The principle of the iterated extended Kalman filter has been generalized to create a new
filter that has superior performance when the estimation problem contains severe …

In the normal operation conditions of a pico satellite, a conventional Unscented Kalman
Filter (UKF) gives sufficiently good estimation results. However, if the measurements are not …

A novel quaternion estimator called square-root quaternion cubature Kalman filter is
proposed for spacecraft attitude estimation. The filter approach uses a gyro-based model for …

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 …

This work introduces, examines and compares several quaternion normalization algorithms,
which are shown to be an effective stage in the application of the additive extended Kalman …

An Unscented Kalman Filter (UKF) is derived in an attempt to solve the spacecraft dual
estimation problem with greater accuracy than is attainable with an Extended Kalman Filter …