Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations

R. Imam, M. Pini, G. Marucco, F. Dominici, F. Dovis
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引用次数: 7

Abstract

Signals transmitted by Global Navigation Satellite Systems can be exploited as signals of opportunity for remote sensing applications. Satellites can be seen as spread sources of electromagnetic radiation, whose signals reflected back from ground can be processed to detect and monitor geophysical properties of the Earths surface. In the past years, several experiments of GNSS-based passive radars have been demonstrated successfully, mainly from piloted aircraft. Then, the proliferation of small UAVs enabled new applications where GNSS-based passive radars can provide useful geospatial information for environmental monitoring. Thanks to the availability of commercial Radio Frequency front ends and the enhanced processing capabilities of embedded platforms, it is possible to develop GNSS-based passive radars at moderated cost. These can be mounted on Unmanned Aerial Vehicles, and be used to support the sensing of environmental parameters. This paper presents the results of an experimental campaign based on the use of a UAV for GNSS reflectometry, tailored to the detection of the presence of water on ground after floods. The work is part of wider project, which intends to develop solutions to support rescuers and decision makers to manage operations after natural disasters, through the integration and modelling of geospatial data coming from multiple sources.
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基于gnss的无源雷达数据支持洪水监测操作
全球导航卫星系统传送的信号可作为遥感应用的机会信号加以利用。卫星可被视为电磁辐射的传播源,其从地面反射回来的信号可被处理以探测和监测地球表面的地球物理特性。在过去的几年中,基于gnss的无源雷达的一些实验已经成功地进行了演示,主要是在有人驾驶飞机上进行的。然后,小型无人机的激增使基于gnss的无源雷达能够为环境监测提供有用的地理空间信息的新应用成为可能。由于商用射频前端的可用性和嵌入式平台的增强处理能力,以适度的成本开发基于gnss的无源雷达成为可能。这些可以安装在无人机上,并用于支持环境参数的感知。本文介绍了一项实验运动的结果,该运动基于使用无人机进行GNSS反射测量,专门用于检测洪水后地面上是否存在水。这项工作是更广泛项目的一部分,该项目旨在通过整合和建模来自多个来源的地理空间数据,开发解决方案,以支持救援人员和决策者在自然灾害后管理业务。
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Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations Discrete Positioning Using UWB Channel Impulse Responses and Machine Learning On the Effective Length of Channel Impulse Responses in UWB Single Anchor Localization V2X based Probabilistic Cooperative Position Estimation Applying GNSS Double Differences Blind Spoofing Detection Using a Multi-Antenna Snapshot Receiver
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