Yohan A. Aparicio


This research focuses on achieving real-time radio frequency interference (RFI) mitigation in astronomy signals. The study explores the use of Modified-LMS and Wavelet transformations for adaptive filtering across L to S frequency bands. Our aim is to develop a mathematical model that assesses the impact of algorithmic changes while detecting transient interference events with a low mean square error (MSE) and a high signal-to-noise ratio (SNR). The evaluation focuses on examining the effects of algorithmic variations on spectral coefficient estimation and transient interference recognition within the digital backend of radio astronomy receivers. Hardware validation will be use a processing system with a radio frequency system-on-chip (RFSoC) and a graphics processing unit (GPU) as hardware accelerators.