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

机译:通过计算机模拟对扩展源图像采集算法的置信范围估计

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Abstract: 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.!9
机译:摘要:使用太阳照亮的地球作为信标源进行空间采集,与用于深空光通信系统的基于活动信标的系统相比,具有许多优势。但是,由于与激光束发散相比,地球图像的角度扩展较大,因此采集子系统必须能够解析图像以得出正确的指向方向。给定成像光学器件引入的模糊和大的地球反照率波动,所使用的算法必须能够推断出接收器的位置。此外,由于对地球和跟踪算法进行建模的复杂性,只能通过使用真实地球图像进行仿真来精确估算算法的准确性。为此构建了一个图像模拟器,并报告了模拟运行的结果。9

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