TY - JOUR N2 - The objective of the research was to investigate the efficiency of selected methods of data fusion from visual sensors used on-board satellites for attitude measurements. Data from a sun sensor, an earth sensor, and a star tracker were fused, and selected methods were applied to calculate satellite attitude. First, a direct numerical solution, a numerical and analytical solution of the Wahba problem, and the TRIAD method for attitude calculation were compared used for integrating data produced by a sun sensor and an earth sensor. Next, attitude data from the star tracker and earth/sun sensors were integrated using two methods: weighted average and Kalman filter. All algorithms were coded in the MATLAB environment and tested using simulation models of visual sensors. The results of simulations may be used as an indication for the best data fusion in real satellite systems. The algorithms developed may be extended to incorporate other attitude sensors like inertial and/or GNSS to form a complete satellite attitude system. L1 - http://www.czasopisma.pan.pl/Content/120312/PDF/22_01712_Bpast.No.69(4)_27.08.21_druk.pdf L2 - http://www.czasopisma.pan.pl/Content/120312 PY - 2021 IS - 4 EP - e137935 DO - 10.24425/bpasts.2021.137935 KW - space KW - navigation KW - attitude determination KW - visual sensors A1 - Narkiewicz, Janusz A1 - Sochacki, Mateusz A1 - Rodacki, Adam A1 - Grabowski, Damian VL - 69 DA - 17.07.2021 T1 - Comparison of algorithms for satellite attitude determination using data from visual sensors SP - e137935 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/120312 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -