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Multipath mitigation in the frequency domain

机译:频域中的多径缓解

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The GPS measurements can be modeled as true range plus other error sources such as orbit and clock biases, ionosphere, troposphere, multipath, and receiver noise. All of these errors have different frequency spectrum components. Ionosphere and troposphere errors are of low frequency, and the receiver noise has high frequency components. Orbit errors are typically bias terms, and multipath errors have low/medium frequency components. Since these errors have different frequency components, the methodology is presented whereby the multipath error can be mitigated through frequency domain processing. In this method, firstly, a validated multipath model provides the multipath frequency spectrum analysis, which is used to bound the frequency domain region for mitigation. Secondly, a code-minus-carrier (CmC) analysis provides the major code multipath error and its frequency spectrum; Thirdly, a code multipath correction is formed and applied to mitigate the multipath error in the GPS pseudorange measurement. Fourthly, a CmC analysis is performed on the multipath mitigated measurements to illustrate a reduction in the multipath error. Lastly, a compression ratio is defined which is used as a final metric to assess the net improvement in the standard deviation of the multipath mitigated CmC, as compared to the un-mitigated CmC, on a percentage basis. This technique does rely on an estimate of the peak frequency component of the multipath to be mitigated. Additionally, real test data shows the code multipath is mitigated without carrier phase aiding. Therefore, both the multipath mitigated pseudorange measurement and carrier phase measurement can be utilized for the user solution, which improves both accuracy and integrity.
机译:GPS测量可以建模为真实范围以及其他误差源,例如轨道和时钟偏差,电离层,对流层,多径和接收器噪声。所有这些误差具有不同的频谱成分。电离层和对流层误差属于低频,而接收器噪声具有高频分量。轨道误差通常是偏差项,多径误差具有中低频率成分。由于这些误差具有不同的频率分量,因此提出了可以通过频域处理减轻多径误差的方法。在这种方法中,首先,经过验证的多径模型提供了多径频谱分析,该分析用于绑定频域区域以进行缓解。其次,码负载波(CmC)分析提供了主要的码多径误差及其频谱。第三,形成代码多径校正并将其应用于减轻GPS伪距测量中的多径误差。第四,对多径缓解测量进行CmC分析,以说明多径误差的减小。最后,定义一个压缩率,该压缩率用作最终度量,以百分比为单位,评估与未缓解的CmC相比,多径缓解的CmC的标准偏差的净改善。该技术确实依赖于要减轻的多径的峰值频率分量的估计。此外,实际测试数据显示,无需载波相位辅助,代码多径得到缓解。因此,多径缓解伪距测量和载波相位测量均可用于用户解决方案,从而提高了准确性和完整性。

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