Distributed Spectrum Sensing Using Low Cost Hardware

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Stefan Grönroos , Kristian Nybom, Jerker Björkqvist, Juhani Hallio, Jani Auranen, Reijo Ekman
Publisher: Springer US
Publication year: 2016
Journal: Journal of Signal Processing Systems
Volume number: 83
Issue number: 1
Start page: 5
End page: 17
eISSN: 1939-8115


Abstract

A distributed spectrum sensing network is prototyped using off the shelf hardware consisting of Raspberry Pi mini-computers and DVB-T receivers with software defined radio capabilities. Using the prototype network, coordinated, distributed wideband spectrum sensing is performed in a geographical area. The spectrum sensing data from the nodes is collected in a database. Well established low-complexity algorithms for distributed spectrum sensing are applied, and the results are compared against a professional spectrum sensing system. We show that with this simple low-cost setup, the decisions made on the availability of spectrum using the distributed sensing data correspond well with the decisions made on the reference data.


Keywords

Raspberry Pi, RTL-SDR, Software Defined Radio, Spectrum sensing


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Last updated on 2020-21-01 at 04:06