基于双差分多普勒频移的定位框架与低地轨道卫星星历误差校正

Md. Ali Hasan, M. Humayun Kabir, Md. Shafiqul Islam, Sangmin Han, Wonjae Shin
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引用次数: 0

摘要

在利用低地球轨道(LEO)卫星进行基于机会信号(SOPs)的定位时,从双线元素文件中提取的星历数据会随着时间的推移产生越来越大的误差。为了处理错误测量,在定位用户终端(UT)时,通常会使用一个已知位置的附加基准接收器来补偿星历误差的影响。然而,这种方法对于长基线(基站接收机与 UT 之间的距离)是不够的,因为它无法充分纠正星历不准确造成的多普勒频移测量误差,从而导致定位性能下降。此外,基准接收机和 UT 之间缺乏时钟同步也加剧了多普勒频移测量的错误。为了应对这些挑战,我们提出了一种基于双差分多普勒频移的稳健定位框架(称为 3DPose),以解决基站接收机和 UT 之间的时钟同步问题,以及长基线导致的定位性能下降问题。所提出的 3DPose 框架利用双差多普勒频移测量来消除时钟同步问题,并结合了一种新型星历误差修正算法,以提高长基线情况下的 UT 定位精度。该算法专门描述和纠正由错误星历数据引起的多普勒频移测量误差,重点是切线方向上的卫星位置误差。为了验证所提框架的有效性,我们在三种不同情况下进行了对比分析,将其性能与现有的差分多普勒定位方法进行了对比。结果表明,与现有的差分多普勒方法相比,拟议的 3DPose 框架平均减少了 90% 的三维定位误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Double-Difference Doppler Shift-Based Positioning Framework with Ephemeris Error Correction of LEO Satellites
In signals of opportunity (SOPs)-based positioning utilizing low Earth orbit (LEO) satellites, ephemeris data derived from two-line element files can introduce increasing error over time. To handle the erroneous measurement, an additional base receiver with a known position is often used to compensate for the effect of ephemeris error when positioning the user terminal (UT). However, this approach is insufficient for the long baseline (the distance between the base receiver and UT) as it fails to adequately correct Doppler shift measurement errors caused by ephemeris inaccuracies, resulting in degraded positioning performance. Moreover, the lack of clock synchronization between the base receiver and UT exacerbates erroneous Doppler shift measurements. To address these challenges, we put forth a robust double-difference Doppler shift-based positioning framework, coined 3DPose, to handle the clock synchronization issue between the base receiver and UT, and positioning degradation due to the long baseline. The proposed 3DPose framework leverages double-difference Doppler shift measurements to eliminate the clock synchronization issue and incorporates a novel ephemeris error correction algorithm to enhance UT positioning accuracy in case of the long baseline. The algorithm specifically characterizes and corrects the Doppler shift measurement errors arising from erroneous ephemeris data, focusing on satellite position errors in the tangential direction. To validate the effectiveness of the proposed framework, we conduct comparative analyses across three different scenarios, contrasting its performance with the existing differential Doppler positioning method. The results demonstrate that the proposed 3DPose framework achieves an average reduction of 90% in 3-dimensional positioning errors compared to the existing differential Doppler approach.
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