In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, ...

The optimal attitude estimate is often defined as the solution to a minimization problem. When the objective function of the minimization problem is quadratic in the attitude matrix or equivalently quartic in the attitude quaternion, for example, in GPS attitude determination, gradient-based iterative algorithms are usually used, which can only find the local minimizer. A novel numerical method...

A novel attitude measuring sensor is presented to be used on agile satellites without any angular field of view restrictions. The sensor is based on low-cost, medium resolution attitude vector measurements, obtained from geomagnetic detectors (magnetometers) and coarse sun sensors (solar cells). The vector measurements chosen, have an unrestricted field of view and a reasonably high response ba...

This paper develops extended Kalman filtering algorithms for a generic Gough-Stewart platform assuming realistically available sensors such as length sensors, rate gyroscopes, and accelerometers. The basic idea is to extend existing methods for satellite attitude estimation. The nondeterministic methods are meant to be a practical alternative to existing iterative, deterministic methods for rea...

This paper discusses the development of a particle filter for attitude and angular rate estimation of a space object using light curve observations. The particle filter approach used is based on the generalized Rodrigues parameters (GRPs) local error representation. The global state used is the quaternion to avoid singularity in the attitude states. Uniform quaternions are generated to approxim...

The mobile robot localization problem is decomposed and treated as a two-stage iterative process. The attitude is estimated rst and is then used for position estimation. The innovation of our method presented in the sequel is the incorporation of a smoother, in the attitude estimation loop that outperforms in estimate accuracy any other Kalman ter based technique. The smoother is ideally suited...

In this paper, one dimensional drift free attitude estimation system using accelerometer and gyroscope was studied. The proposed system fuses data from accelerometers and gyroscopes by means of a Kalman filter. A PIC microcontroller is used for estimating the angle value in the proposed system. Moreover, this controller does all data acquisition and interfacing tasks. The experimental results a...

Proper modeling of the Global Positioning System (GPS) satellite yaw attitude is important in high-precision applications. A new model for the GPS satellite yaw attitude is introduced that constitutes a significant improvement over the previously available model in terms of efficiency, flexibility, and portability. The model is described in detail, and implementation issues, including the prope...