重新审视GNSS-R代码范围精度
A revisit to the GNSS-R code range precision
摘要：
我们解决的GNSS-R代码测高空间任务的可行性，更具体地说，其误差预算的主要条款：反射信号的距离精度。这是反射信号延迟的RMS误差，通过波形重跟踪估计。到目前为止，[Lowe等人，2002]已经成为理论上评估该精度的现有技术，尽管已知依赖于强假设（例如，无斑点噪声）。在本文中，我们对该模型进行了严格的审查，并提出了一个改进的Cramer-Rao界（CRB）方法的基础上。我们推导出封闭形式的直接和反射信号的表达式。CRB分析预测的性能比典型的太空任务场景差约四倍。在两类全球导航卫星系统R应用的背景下讨论了这一结果的影响：中尺度海洋学和海啸探测。
英文摘要：
We address the feasibility of a GNSS-R code-altimetry space mission and more specifically a dominant term of its error budget: the reflected-signal range precision. This is the RMS error on the reflected-signal delay, as estimated by waveform retracking. So far, the approach proposed by [Lowe et al., 2002] has been the state of the art to theoretically evaluate this precision, although known to rely on strong assumptions (e.g., no speckle noise). In this paper, we perform a critical review of this model and propose an improvement based on the Cramer-Rao Bound (CRB) approach. We derive closed-form expressions for both the direct and reflected signals. The performance predicted by CRB analysis is about four times worse for typical space mission scenarios. The impact of this result is discussed in the context of two classes of GNSS-R applications: mesoscale oceanography and tsunami detection.
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