高精度星点位移估计

Fei Hung, Zongming Liu, Tianqi Li, Yu Zhang, Guicun Li, Shuogong Zhang
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引用次数: 0

摘要

为了实现InSAR卫星的高精度定位测量,我们提出利用InSAR卫星捕获多星点图像,获取高精度星点质心位移和角距,实现高精度基线测量,从而提高定位测量精度。通过研究图像探测器像素位置偏差对星点质心位移测量精度的影响,提出了一种基于外差激光干涉的像素位置偏差标定方法。由于像素间响应的不均匀性,我们构建了具有像素偏差的图像传感器仿真模型。图像传感器像素校准结果表明,在均值为0,标准差为0.01的情况下,图像传感器像素校准精度优于$7 \ × 10^{{-5}}$像素。研究结果对于提高星点质心位移测量精度,提高InSAR卫星高精度定位测量具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High precision star point displacement estimation
In order to achieve high-precision positioning measurement of InSAR satellite, we proposed to use InSAR satellites to capture multiple star point images and obtain high-precision centroid displacement and angular distance of star point to achieve high-precision baseline measurement, so as to improve positioning measurement accuracy. By studying the effect of image detector pixel position deviation on the accuracy of the centroid displacement measurement of the star point, we proposed a pixel position deviation calibration method based on heterodyne laser interference. Due to the inhomogeneity of the pixel-to-pixel response, we constructed an image sensor simulation model with pixel deviations. Image sensor pixel calibration results showed that with the mean value of 0 and the standard deviation of 0.01, the image sensor pixel calibration accuracy was better than $7 \times 10^{{-5}}$ pixel. The research results were of great significance for improving the measurement accuracy of the centroid displacement of star point and improving the high-precision positioning measurement of InSAR satellites.
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