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A Compressed-Sensing System for Radio Spectrum Monitoring and Localization of Noncooperative Sources

Authors :
Daponte, Pasquale
De Vito, Luca
Picariello, Francesco
Rapuano, Sergio
Remondini, Enrico
Schettini, Clemente
Tudosa, Ioan
Source :
IEEE Transactions on Instrumentation and Measurement; 2024, Vol. 73 Issue: 1 p1-11, 11p
Publication Year :
2024

Abstract

This article presents a prototype system for the monitoring of radio frequency (RF) emissions and their localization. The system is composed of a network of RF spectrum measurement nodes and a command and control center (CCC) which is in charge of collecting the sensed data (i.e., the RF field signature) by the measurement nodes. To reduce the amount of data sent by each measurement node toward the CCC, a compressed-sensing-based algorithm is implemented for this task. A description of: 1) the architecture of the realized distributed measurement system; 2) the hardware implementation of the RF spectrum measurement nodes; and 3) the CCC is given. Evaluation tests that were carried out in laboratory and on-field environments will also be presented showing the capability of the system of online detecting and localizing noncooperative RF emitters.

Details

Language :
English
ISSN :
00189456 and 15579662
Volume :
73
Issue :
1
Database :
Supplemental Index
Journal :
IEEE Transactions on Instrumentation and Measurement
Publication Type :
Periodical
Accession number :
ejs66413617
Full Text :
https://doi.org/10.1109/TIM.2024.3395326