Relative Close Navigation for Non cooperative Rendezvous
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Navigering för icke kooperativ rendezvous (Swedish)
This report presents the work done in the frame of a master thesis at Airbus Defence and Space, Les Mureaux on « Relative Close Navigation for Non cooperative Rendezvous » from the 3rd of March to the 29th of August 2014.
The master thesis subject is the implementation of an initialization algorithm based on Infrared monovision sensors into a pose estimation simulator in the frame of a Non cooperative Rendezvous.
The pose of a satellite represents its orientation in Euler angles and its relative position to the chaser.
The initialization algorithm chosen to be implemented is a model-based method involving a Principal Component Analysis. A target template image of size (K, L) pxls is decomposed into a feature vector of size (1, r ). The feature vector contains all the main characteristics of the image. The matching is done via a comparison between a set of feature vectors representing several known target attitudes and the feature vector of the input attitude. The computation load is higly reduced compared to a omparison between images.
The simulations with simulated images of a basic target shape (a cube) led to accurate attitude and position estimations.The results with real Infrared images inputs give us reasons to believe that the estimations in real space conditions could be conclusive. However, the simulations were done for simplified cases, without, for instance, considering noise measurements. Further studies will have to be done to see if the initialization algorithm allows the simulator tracking algorithm to converge.
Place, publisher, year, edition, pages
2014. , 58 p.
TRITA-AVE, ISSN 1651-7660 ; 2014:53
pose, initialization, Infrared, monovision, Non cooperative Rendezvous, principal
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-163709OAI: oai:DiVA.org:kth-163709DiVA: diva2:802066