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Improved Kalman-based attitude estimation framework for UAVs via an antenna array

 
: Cordeiro, Thiago Felippe K.; Costa, Joao Paulo C.L. da; Sousa Jr., Rafael Timoteo de; So, Hing Cheung; Borges, Geovany A.

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Digital signal processing 59 (2016), S.49-65
ISSN: 1051-2004
Englisch
Zeitschriftenaufsatz
Fraunhofer IIS ()
Verfahren der Navigation; Sensoren; Sensordatenfusion; Richtungsschätzung (DoA); Navigationssystem; Navigation; MATLAB; Inertialsensoren; Indoor Navigation; beamforming

Abstract
Accurate attitude estimation is crucial for Unmanned Aerial Vehicles (UAVs) in order to facilitate automated activities such as landing or trajectory tracking. Recently antenna array based communication systems have been installed in UAVs. This array structure can also be applied for attitude estimation by computing the line-of-sight (LOS) path between the base station and UAV. In this paper, we propose a complete framework for attitude estimation by exploiting 3D LOS vector obtained from the antenna array system. We present all the steps to incorporate the estimated LOS vector into the TRIaxial Attitude Determination (TRIAD), QUaternion ESTimator (QUEST) and Kalman algorithms.

: http://publica.fraunhofer.de/dokumente/N-421561.html