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Photon-by-photon post-processing correction of pointing errors in an orbiting satellite

机译:轨道卫星中指向误差的逐个光子后处理校正

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The Jupiter Magnetosphere Explorer (JMEX) is a proposed earth-orbiting satellite which will image the planet Jupiter in the FUV with a 0.5 m telescope at 0.25 arcsec (") resolution. Because the satellite is small and lightweight, vibrations from the reaction wheels (even though isolated by dampers) produce random pointing errors with an amplitude as large as 5" at a frequency around 1 Hz. In order for the telescope to achieve a resolution of 0.25" FWHM during long exposures, we will use a novel post-processing scheme to correct the pointing error. The UV science camera is a photon-counting MCP detector which produces data as a time-stamped photon list with 0.08" spatial resolution and roughly 1 ms temporal resolution. Simultaneously, a 0.5" pixel video camera, fed by a pickoff mirror in the main beam, captures visible images of the planet's disk at 30Hz and, with onboard processing, the centroid of the planet is determined, frame-by-frame, with a resolution < 0.02" (1/25 pixel). With inter-frame interpolation, each photon from the UV camera is position-corrected in ground post-processing to an accuracy of 0.02". To rigorously test this scheme, we have constructed a hardware mock-up consisting of a tip-tilt mirror, a beamsplitter, and two video cameras with controlled noise characteristics. The tip-tilt mirror produces controlled image motion over a range of amplitudes and frequencies. With all parameters at worst-case values, we have verified the specified performance of the system and achieved centroid correction close to the limit set by counting noise statistics.
机译:木星磁层探索器(JMEX)是拟议中的绕地球轨道卫星,它将以0.5 m望远镜以0.25弧秒(“)的分辨率在FUV中对木星进行成像。由于该卫星小巧轻巧,因此来自反作用轮的振动(即使被阻尼器隔离)也会在1 Hz左右的频率下产生幅度高达5英寸的随机指向误差。为了使望远镜在长时间曝光时分辨率达到0.25“ FWHM,我们将使用一种新颖的后处理方案来校正指向误差。UV科学相机是一个光子计数MCP检测器,其产生的数据为时间-带有0.08英寸空间分辨率和大约1 ms时间分辨率的标记光子列表。同时,一个0.5英寸像素的摄像机由主光束中的分光镜馈送,以30Hz的频率捕获行星盘的可见图像,并通过机载处理,以逐帧的方式确定行星的质心。分辨率<0.02英寸(1/25像素)。通过帧间插值,来自UV相机的每个光子在地面后处理中的位置校正到0.02“的精度。为了严格测试该方案,我们构建了一个硬件模型,其中包括一个倾斜镜,一个分束器和两个具有受控噪声特性的摄像机;倾斜镜可在一定幅度和频率范围内产生受控的图像运动;在所有参数均处于最差情况下,我们已经验证了系统的指定性能并获得了质心通过对噪声统计数据进行计数,将校正修正为接近设置的极限。

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