As part of the CARSE 2025 Fall Seminar Series, Maribel Tello presented her research titled “Two Algorithmic Approaches for RFI Detection and Mitigation in K-Band.”

Her work introduces two algorithmic methods for detecting and mitigating Radio Frequency Interference (RFI) in the K-band, using data from the MP-3000A Microwave Radiometer (MWR). The first approach leverages statistical deviations in kurtosis to identify interference, while the second detects abrupt signal changes through second-derivative analysis.

Both algorithms have been validated using real and simulated datasets and are currently undergoing statistical performance evaluation. Additionally, the study produced a seasonal diurnal cycle of brightness temperature and kurtosis for the Caribbean region, providing new insights into the natural variability of microwave emissions in this climatically dynamic area.