Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Aerospace  /  Vol: 6 Par: 9 (2019)  /  Artículo
ARTÍCULO
TITULO

Dot Product Equality Constrained Attitude Determination from Two Vector Observations: Theory and Astronautical Applications

Jin Wu and Shangqiu Shan    

Resumen

In this paper, the attitude determination problem from two vector observations is revisited, incorporating the redundant equality constraint obtained by the dot product of vector observations. Analytical solutions to this constrained attitude determination problem are derived. It is found out that the studied two-vector attitude determination problem by Davenport q-method under the dot product constraint has deterministic maximum eigenvalue, which leads to its advantage in error/perturbation analysis and covariance determination. The proposed dot product constrained two-vector attitude solution is applied then to solve several engineering problems. Detailed simulations on spacecrafts attitude determination indicate the efficiency of the proposed theory.

 Artículos similares

       
 
Andrey Pavlov     Pág. 9 - 13
This article is the second part of the article "Optimal Linear Forecast". The results of this article continue the study of optimal linear projections in three-dimensional space from the point of view of comparing the lengths in two different metrics giv... ver más

 
Svitlana Havenko,Myhailo Ohirko,Pavlo Ryvak,Olena Kotmalova     Pág. 53 - 63
The intensive use of flexographic printing for packaging decoration and the increased consumer demands for it require an in-depth study of the factors that influence the prints? quality. In this paper, we examined the test prints obtained at a flexograph... ver más

 
Sandra Rizkallah, Amir F. Atiya and Samir Shaheen    
Embedding words from a dictionary as vectors in a space has become an active research field, due to its many uses in several natural language processing applications. Distances between the vectors should reflect the relatedness between the corresponding ... ver más
Revista: Applied Sciences

 
Yadong Yang, Xiaofeng Wang, Quan Zhao and Tingting Sui    
The focus of fine-grained image classification tasks is to ignore interference information and grasp local features. This challenge is what the visual attention mechanism excels at. Firstly, we have constructed a two-level attention convolutional network... ver más
Revista: Applied Sciences

 
Xin Chen, Jingbin Hao, Hao Liu, Zhengtong Han and Shengping Ye    
There is a growing need to be able to accurately and efficiently recognize similar models from existing model sets, in particular, for 3D models. This paper proposes a method of similarity measurement of 3D models, in which the similarity between 3D mode... ver más
Revista: Computers