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Error sources and algorithms for white-light fringe estimation at low light levels

机译:弱光下白光条纹估计的误差源和算法

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We address the problem of highly accurate phase estimation at low light levels, as required by the Space Interferometry Mission (SIM). The most stringent SIM requirement in this regard is that the average phase error over a 30-s integration time correspond to a path-length error of approximately 30 pm. Most conventional phase-estimation algorithms exhibit significant enough bias at the signal levels at which the SIM will be operating so that some correction is necessary. Several algorithms are analyzed, and methods of compensating for their bias are developed. Another source of error in phase estimation occurs because the phase is not constant over the integration period. Errors that are due to spacecraft motion, the motion of compensating optical elements, and modulation errors are analyzed and simulated. A Kalman smoothing approach for compensating for these errors is introduced. (C) 2002 Optical Society of America. [References: 20]
机译:我们解决了空间干涉测量任务(SIM)要求的在低光照条件下高度准确的相位估计问题。在这方面,最严格的SIM要求是30秒积分时间内的平均相位误差对应于大约30 pm的路径长度误差。大多数传统的相位估计算法在SIM将要运行的信号电平上表现出足够大的偏差,因此需要进行一些校正。分析了几种算法,并开发了补偿其偏差的方法。出现相位估计错误的另一个原因是,在积分期间内相位不是恒定的。分析和模拟了由于航天器运动,光学补偿元件的运动以及调制误差引起的误差。介绍了一种用于补偿这些误差的卡尔曼平滑方法。 (C)2002年美国眼镜学会。 [参考:20]

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