Parametric study of sensor placement for vision-based relative navigation system of multiple spacecraft

摘要: Abstract In order to overcome the limited range of GPS-based techniques, vision-based relative navigation methods have recently emerged as alternative approaches for a high Earth orbit (HEO) or deep space missions. Therefore, various systems use proximity operations between two spacecraft. For implementation these systems, sensor placement problem can occur on exterior spacecraft due its space. To deal with placement, this paper proposes novel methodology based multiple position sensitive diode (PSD) sensors and infrared beacon modules. proposed method, an iterated parametric study is used farthest point optimization (FPO) constrained extended Kalman filter (CEKF). Each algorithm applied set location estimate positions attitudes according each combination by PSDs beacons. After that, scores are calculated respect parameters: number PSDs, beacons, accuracy estimates. Then, best scoring candidate determined placement. Moreover, results estimation show that improves dramatically, increases from one three.