# Implementing RFI mitigation in Radio Science

## TL;DR

This paper reviews various techniques for mitigating radio frequency interference in radio science data, aiming to improve data quality outside designated frequency bands through multiple stages of intervention.

## Contribution

It provides a comprehensive overview of RFI mitigation methods across different points in the data acquisition and processing pipeline, highlighting their roles and effectiveness.

## Key findings

- Mitigation methods range from regulatory to post-processing techniques.
- Effective mitigation can preserve data quality outside passive bands.
- Multiple mitigation strategies can be combined for optimal results.

## Abstract

This paper presents an overview of methods for mitigating radio frequency interference (RFI) in radio science data. The primary purpose of mitigation is to assist observatories to take useful data outside frequency bands allocated to the Science Services (RAS and EESS): mitigation should not be needed within Passive bands. Mitigation methods may be introduced at a variety of points within the data acquisition system in order to lessen the RFI intensity and to limit the damage it does. These methods range from proactive methods to change the local RFI environment by means of regulatory manners, to pre- and post-detection methods, to various pre-processing methods, and to methods applied at or post-processing.