A Study on RFI Detection and Mitigation for UAS-Based P-Band SoOp System
Tanvir Anjum, Mehmet Kurum · 2025
P-band has emerged as a spectrum of special interest for soil moisture estimation due to its longer wavelength and higher penetration depth into the soil. But to properly utilize this spectrum using Signals of Opportunity-Reflectometry (SoOp-R), interference from the system itself and external sources need to be identified and mitigated. In this study, a workflow has been formulated to identify the instrument-generated radio frequency interference (RFI) in an uncrewed aircraft system (UAS) based SoOp-R system designed to estimate surface reflectivity using P-band. Spectral kurtosis has been identified as a possible method for external RFI detection and the Front-End GNSS Interference eXcisor (FENIX) algorithm has been proposed as a possible RFI mitigation technique in a P-band SoOp system. The effect of RFI mitigation on surface reflectivity estimation will be validated in a digital twin of the system in a simulated environment.