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Confidence range estimate of extended-source imagery acquisition algorithms via computer simulations

机译:通过计算机仿真的扩展源图像采集算法的信心范围估计

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Spatial acquisition using the Sun-lit Earth as a beacon source provides several advantages over active beacon-based systems for deep-space optical communications systems. However, since the angular extend of the Earth image is large compared to the laser beam divergence, the acquisition subsystem must be capable of resolving the image to derive the proper pointing orientation. The algorithms used must be capable of deducing the receiver location given the blurring introduced by the imaging optics and the large Earth albedo fluctuation. Furthermore, because of the complexity of modelling the Earth and the tracking algorithms, an accurate estimate of the algorithm accuracy can only be made via simulation using realistic Earth images. An image simulator was constructed for this purpose, and the results of the simulation runs are reported.
机译:使用Sun-Lit地球作为信标源的空间采集提供了对基于积极信标的系统的几个优点,用于深空光通信系统。然而,由于与激光束发散相比,接地图像的角度延伸大,所以采集子系统必须能够解析图像以导出适当的指向方向。所使用的算法必须能够推断接收器位置,给出由成像光学器件和大地球玻璃波动的模糊引入的模糊。此外,由于建模地球和跟踪算法的复杂性,只能通过使用现实地球图像进行仿真进行算法精度的精确估计。为此目的构建图像模拟器,报告了模拟运行的结果。

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