This article proposes two novel covariance-tuning methods to form a robust Kalman filter
(RKF) algorithm for attitude (ie, roll and pitch) estimation using the measurements of only an …

A different approach for attitude filtering integrates the filter with one of the static attitude
estimators (eg QUEST) such that the filter uses the estimated attitude by this estimator as the …

Star images from star trackers are usually defocused to capture stars over an exposure time
for better centroid measurements. While a satellite is maneuvering, the star point on the …

Sun sensors are commonly used attitude sensors because of their low cost, mass, volume,
and power consumption. Analog Sun sensors (ANSS), which are smaller but usually less …

A conventional attitude estimation system for a nanosatellite involves direct input of the
attitude sensor measurements to a Kalman filter. However, in case of using an extended …

This study tackles the problem of fault‐tolerant attitude estimation for small satellites. A
probabilistic adaptive technique is presented for the multiplicative extended Kalman filter …

This paper proposes a novel covariance-scaling based robust adaptive Kalman filter (RAKF)
algorithm for attitude (ie, roll and pitch) estimation using an inertial measurement unit (IMU) …

This study presents a nontraditional estimation system for attitude estimation and complete
magnetometer calibration of a small satellite. The proposed system combines the TRIAD …

The concept of increasing the fault tolerance of a computer system (CS) by using the existing
natural redundancy, which depends on the number of systems used, is considered. The …

A Neural Network (NN) based method to improve the accuracy of a set of analog Sun
sensors is presented. Analog Sun Sensors are commonly used on satellites due to their …