Dataset for Spectrum Coexistence in Passive Sensing and Wireless Communication

In our ever-expanding world of advanced satellite and communications systems, there's a growing challenge for passive radiometer sensors used in the Earth observation like 5G. These passive sensors are challenged by risks from radio frequency interference (RFI) caused by anthropogenic signals. To address this, we urgently need effective methods to quantify the impacts of 5G on Earth observing radiometers. Unfortunately, the lack of substantial datasets in the radio frequency (RF) domain, especially for active/passive coexistence, hinders progress. Our study introduces a controlled testbed featuring a calibrated L-band radiometer and a 5G wireless communication system. In a controlled chamber, this unique setup allows us to observe and quantify transmission effects across different frequency bands. By creating a comprehensive dataset, we aim to standardize and benchmark both wireless communication and passive sensing. With the ability to analyze raw measurements, our testbed facilitates RFI detection and mitigation, fostering the coexistence of wireless communication and passive sensing technologies while establishing crucial standards.

在卫星通信系统日益扩大的广阔领域中，地球观测如5G等领域所使用的被动辐射计传感器面临着日益严峻的挑战。这些被动传感器受到人为信号产生的射频干扰（RFI）风险的影响。为了应对这一挑战，我们迫切需要有效的量化5G对地球观测辐射计影响的方法。遗憾的是，射频（RF）领域的实质性数据集不足，尤其是在主动/被动共存方面，这阻碍了研究的进展。我们的研究引入了一个可控测试平台，该平台包括一个校准过的L波段辐射计和5G无线通信系统。在一个可控的实验室内，这种独特的配置使我们能够观察和量化不同频段间的传输效应。通过创建一个综合性的数据集，我们旨在规范和建立无线通信和被动传感的基准。借助分析原始测量的能力，我们的测试平台促进了射频干扰的检测和缓解，促进了无线通信和被动传感技术的共存，并建立了至关重要的标准。