论文标题
使用基于物理的模型来处理来源的定位
Jamming Source Localization Using Augmented Physics-Based Model
论文作者
论文摘要
监视基于卫星的导航系统的干扰对于可靠地操作关键基础架构，导航系统以及依赖于基于卫星的定位的各种应用程序至关重要。本文研究了在中央节点上使用众包数据来实现此类检测和监测，该中心节点从关注的领域接收来自任意数量的代理的数据。在理想条件下，使用Pathloss模型来计算精度和相应最大似然估计器的Cramér-Rao结合。但是，在实际情况下，障碍物和反射很常见，信号传播比Pathloss模型可以解释的要复杂得多。我们建议使用数据驱动的组件来增强Pathloss模型，以解释传播通道的复杂性。该论文展示了一种一般方法，可以共同估算增强模型的干扰位置和参数，显示出在复杂场景中的出色表现，例如在城市环境中遇到的效果。
Monitoring interferences to satellite-based navigation systems is of paramount importance in order to reliably operate critical infrastructures, navigation systems, and a variety of applications relying on satellite-based positioning. This paper investigates the use of crowdsourced data to achieve such detection and monitoring at a central node that receives the data from an arbitrary number of agents in an area of interest. Under ideal conditions, the pathloss model is used to compute the Cramér-Rao Bound of accuracy as well as the corresponding maximum likelihood estimator. However, in real scenarios where obstructions and reflections are common, the signal propagation is far more complex than the pathloss model can explain. We propose to augment the pathloss model with a data-driven component, able to explain the complexities of the propagation channel. The paper shows a general methodology to jointly estimate the interference location and the parameters of the augmented model, showing superior performances in complex scenarios such as those encountered in urban environments.
