Development of a Dynamically Re-Configurable Radio-Frequency Interference Detection System for L-Band Microwave Radiometers

Real-Time RFI Detection and Flagging (RT-RDF) for microwave radiometers is a versatile new FPGA algorithm designed to detect and flag Radio-Frequency Interference (RFI) in microwave radiometers. This block utilizes computationally-efficient techniques to identify and analyze RF signals, allowing the...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-06, Vol.24 (13), p.4034
Main Authors: Perez-Portero, Adrian, Querol, Jorge, Mas-Vinolas, Andreu, Amezaga, Adria, Jove-Casulleras, Roger, Camps, Adriano
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Bandwidths
Circuit design
Design
Detectors
Digital integrated circuits
earth observation
Evaluation
Field programmable gate arrays
Fourier transforms
FPGA
Kurtosis
Measurement
Normal distribution
Radiation
Radio frequency
Radiometers
Radiometry
Random variables
Receivers & amplifiers
Remote sensing
RFI
Salinity
Signal processing
Software
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Real-Time RFI Detection and Flagging (RT-RDF) for microwave radiometers is a versatile new FPGA algorithm designed to detect and flag Radio-Frequency Interference (RFI) in microwave radiometers. This block utilizes computationally-efficient techniques to identify and analyze RF signals, allowing the system to take appropriate measures to mitigate interference and maintain reliable performance. With L-Band microwave radiometry as the main application, this RFI detection algorithm focuses on the Kurtogram and Spectrogram to detect non-Gaussian behavior. To gain further modularity, an FFT-based filter bank is used to divide the receiver's bandwidth into several sub-bands within the band of interest of the instrument, depending on the application. Multiple blanking strategies can then be applied in each band using the provided detection flags. The algorithm can be re-configured in the field, for example with dynamic integration times to support operation in different environments, or configurable thresholds to account for variable RFI environments. A validation and testing campaign has been performed on multiple scenarios with the ARIEL commercial microwave radiometer, and the results confirm the excellent performance of the system.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24134034