𝑽𝒖𝒌 𝑴𝒂𝒓𝒐𝒋𝒆𝒗𝒊𝒄, 𝑴𝒆𝒉𝒎𝒆𝒕 𝑲𝒖𝒓𝒖𝒎, 𝑨𝒍𝒊 𝑮𝒖𝒓𝒃𝒖𝒛, 𝑭𝒂𝒕𝒆𝒎𝒆𝒉 𝑨𝒇𝒈𝒉𝒂𝒉, 𝑵𝒊𝒄𝒉𝒐𝒍𝒂𝒔 𝑴𝒂𝒔𝒕𝒓𝒐𝒏𝒂𝒓𝒅𝒆


Passive remote sensing services are indispensable in modern society. One important remote sensing application for Earth science and climate studies is soil moisture monitoring, which provides crucial information for agricultural management; forecasting severe weather, floods and droughts; and climate modeling and prediction. In parallel, modern society also depends heavily on active wireless communications technologies for commerce, transportation, health, science, and defense. Unfortunately, the growth of active wireless systems often increases radio frequency (RF) interference (RFI) experienced by passive systems. At best, RFI may reduce the accuracy of the passive system's measurements; at worst, it may render them useless. The goal of this project is to develop advanced signal processing, resource management and artificial intelligence (AI) techniques at the active and passive users to enable them to coexist in the same RF bands, thereby making more spectrum available to active systems while protecting the passive systems from RFI. Additionally, the project aims to establish a robust testbed environment to validate and refine these techniques. The results will be presented to scientists, regulators, industry and standardization bodies that shape future wireless systems and spectrum access rules.